diff --git a/EMPBA01/aerodynamics_results.json b/EMPBA01/aerodynamics_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9f7714693c98efad706145136c689aa5551f5c0
--- /dev/null
+++ b/EMPBA01/aerodynamics_results.json
@@ -0,0 +1,5127 @@
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\ No newline at end of file
diff --git a/EMPBA01/cg_results.json b/EMPBA01/cg_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..393ff37a18e6488334b154ff23afe0866e7f803d
--- /dev/null
+++ b/EMPBA01/cg_results.json
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+{
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\ No newline at end of file
diff --git a/EMPBA01/clean_polar_results.json b/EMPBA01/clean_polar_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..adda054f11db22300a94a21818538f28f6162b76
--- /dev/null
+++ b/EMPBA01/clean_polar_results.json
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+{
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+ }
+}
\ No newline at end of file
diff --git a/EMPBA01/configuration_polar_data_clean.json b/EMPBA01/configuration_polar_data_clean.json
new file mode 100644
index 0000000000000000000000000000000000000000..b707c4beb660974255e9adca01f5d64b6009ef52
--- /dev/null
+++ b/EMPBA01/configuration_polar_data_clean.json
@@ -0,0 +1,52662 @@
+{
+ "Name": "Clean",
+ "Comment": "Clean Configuration",
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diff --git a/EMPBA01/configuration_polar_results_clean.json b/EMPBA01/configuration_polar_results_clean.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ea00378027020d06e293e2a136ff31cac23908a
--- /dev/null
+++ b/EMPBA01/configuration_polar_results_clean.json
@@ -0,0 +1,45040 @@
+{
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+ 0.00014543632206220775,
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+ ],
+ "xAC_wing_abs": [
+ 1.3122779130359667,
+ 1.382805367879591,
+ 1.4533328227232172,
+ 1.5238602775668415,
+ 1.5943877324104658,
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+ 2.511244645377591,
+ 2.581772100221217,
+ 2.6522995550648414
+ ],
+ "xAC_empennage_negative": [
+ -13.641179426964037,
+ -13.570651972120412,
+ -13.500124517276786,
+ -13.429597062433162,
+ -13.359069607589538,
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+ -13.218014697902287,
+ -13.147487243058661,
+ -13.076959788215037,
+ -13.006432333371412,
+ -12.935904878527786,
+ -12.865377423684162,
+ -12.794849968840538,
+ -12.724322513996912,
+ -12.653795059153287,
+ -12.583267604309661,
+ -12.512740149466037,
+ -12.442212694622413,
+ -12.371685239778786,
+ -12.301157784935162
+ ]
+ }
+ ]
+}
\ No newline at end of file
diff --git a/EMPBA01/configuration_results.json b/EMPBA01/configuration_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e26dfeeb6e641a33dae4961196235bdb965b21b
--- /dev/null
+++ b/EMPBA01/configuration_results.json
@@ -0,0 +1 @@
+{}
\ No newline at end of file
diff --git a/EMPBA01/empba_conf.xml b/EMPBA01/empba_conf.xml
new file mode 100644
index 0000000000000000000000000000000000000000..4e4bcc52b198c3db9e23147369fc8a205199faea
--- /dev/null
+++ b/EMPBA01/empba_conf.xml
@@ -0,0 +1,791 @@
+<?xml version="1.0" encoding="utf-8" ?>
+<module_configuration_file name="empennage_design_conf.xml">
+ <control_settings description="General control settings for this tool">
+ <aircraft_exchange_file_name description="Specify the name of the exchange file">
+ <value>csmr-2020.xml</value>
+ </aircraft_exchange_file_name>
+ <aircraft_exchange_file_directory description="Specify the direction in which the aircraft exchange file can be found">
+ <value>../projects/</value>
+ </aircraft_exchange_file_directory>
+ <own_tool_level description="Specify the tool level of this tool">
+ <value>1</value>
+ </own_tool_level>
+ <console_output description="Selector to specify the console output. Selector: mode_0 (Off) / mode_1 (only out/err/warn) / mode_2 (1 + info) / mode_3 (2 + debug)">
+ <value>mode_1</value>
+ </console_output>
+ <log_file_output description="Selector to specify the log file output. Selector: mode_0 (Off) / mode_1 (only out/err/warn) / mode_2 (1 + info) / mode_3 (2 + debug)">
+ <value>mode_1</value>
+ </log_file_output>
+ <plot_output description="Specify the way plotting shall be handled">
+ <enable description="Switch to enable plotting. Switch: true (On) / false (Off)">
+ <value>true</value>
+ </enable>
+ <copy_plotting_files description="Switch if plotting files shall be copied. Switch: true (On) / false (Off)">
+ <value>true</value>
+ </copy_plotting_files>
+ <delete_plotting_files_from_tool_folder description="Switch if plotting files shall be deleted from folder. Switch: true (On) / false (Off)">
+ <value>true</value>
+ </delete_plotting_files_from_tool_folder>
+ </plot_output>
+ <report_output description="Switch to generate an HTML report. Switch: true (On) / false (Off)">
+ <value>true</value>
+ </report_output>
+ <tex_report description="Switch to generate a Tex report. Switch: true (On) / false (Off)">
+ <value>false</value>
+ </tex_report>
+ <write_info_files description="Switch to generate info files. Switch: true (On) / false (Off)">
+ <value>false</value>
+ </write_info_files>
+ <log_file description="Specify the name of the log file">
+ <value>empennage_design.log</value>
+ </log_file>
+ <inkscape_path description="Path to the inkscape application (DEFAULT: Use inkscape from the UNICADO repo structure)">
+ <value>../inkscape/</value>
+ </inkscape_path>
+ <gnuplot_path description="Path to the gnuplot application (DEFAULT: Use gnuplot from the UNICADO repo structure)">
+ <value>../gnuplot/</value>
+ </gnuplot_path>
+ </control_settings>
+ <program_settings>
+ <modes description="mode selection">
+ <design_mode description="selector mode_0: design, mode_1: redesign (axml must hold a tail)">
+ <value>mode_0</value>
+ </design_mode>
+ <mass_mode description="mass calculation method">
+ <method description="Selector mode_0: flops">
+ <value>mode_0</value>
+ </method>
+ <parameters description="parameters for mass calculation methods">
+ <mode_0 description="flops">
+ <technology_factor description="technology factor applied to flops mass calculation methods">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.5</lower_boundary>
+ <upper_boundary>1.5</upper_boundary>
+ </technology_factor>
+ </mode_0>
+ </parameters>
+ </mass_mode>
+ </modes>
+ <common_airfoil_data_path description="path to common airfoil data">
+ <value>../databases/airfoils/NACA/</value>
+ </common_airfoil_data_path>
+ <tube_and_wing description="settings for tube and wing (TAW)">
+ <fidelity_selection description="selection of fidelity level">
+ <value>low</value>
+ </fidelity_selection>
+ <low_fidelity>
+ <conventional>
+ <tail_element description="tail element" ID="0">
+ <name description="element name - do not change">
+ <value>vertical_stabiliser</value>
+ </name>
+ <parameter description="parameters for sizing/resizing">
+ <offset>
+ <rear_x_offset description="x offset from rear of fuselage sizing/resizing parameter">
+ <value>1.5</value>
+ <unit>m</unit>
+ <lower_boundary>1.0</lower_boundary>
+ <upper_boundary>3</upper_boundary>
+ </rear_x_offset>
+ <centerline_y_offset description="y offset from centerline of fuselage">
+ <value>0.0</value>
+ <unit>m</unit>
+ <lower_boundary>-40.0</lower_boundary>
+ <upper_boundary>40.0</upper_boundary>
+ </centerline_y_offset>
+ <centerline_z_offset description="z offset from centerline of fuselage">
+ <value>0.0</value>
+ <unit>m</unit>
+ <lower_boundary>-5.0</lower_boundary>
+ <upper_boundary>5.0</upper_boundary>
+ </centerline_z_offset>
+ </offset>
+ <volume_coefficient description="volumecoefficient sizing/resizing parameter - if 0.0 -> automatic values will be generated">
+ <value>0.0</value> <!--0.095-->
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>2.0</upper_boundary>
+ </volume_coefficient>
+ <factor_aspect_ratio description= "factor to wing aspect ratio">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0.001</lower_boundary>
+ <upper_boundary>2</upper_boundary>
+ </factor_aspect_ratio>
+ <factor_taper_ratio description="factor to wing taper ratio">
+ <value>1.56</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>5</upper_boundary>
+ </factor_taper_ratio>
+ <delta_sweep description="additional sweep to wing sweep">
+ <value>12</value>
+ <unit>deg</unit>
+ <lower_boundary>-90</lower_boundary>
+ <upper_boundary>90</upper_boundary>
+ </delta_sweep>
+ </parameter>
+ <profiles description="tail profile for both inner and outer section">
+ <profile description="tail profile at section 0" ID="0">
+ <name description="profile name">
+ <value>n0012</value>
+ </name>
+ </profile>
+ <profile description="tail profile at section 0" ID="1">
+ <name description="profile name">
+ <value>n0012</value>
+ </name>
+ </profile>
+ </profiles>
+ <spars description="spars">
+ <spar description="spar element" ID="0">
+ <name description="name of spar">
+ <value>front_spar</value>
+ </name>
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.0</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </spar>
+ <spar description="spar element" ID="1">
+ <name description="name of spar">
+ <value>rear_spar</value>
+ </name>
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>1</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </spar>
+ </spars>
+ <control_devices description="control devices">
+ <control_device description="control device" ID="0">
+ <type description="type of control surface">
+ <value>rudder</value>
+ </type>
+ <deflection description="maximum positive and negative deflection of control device">
+ <full_negative_deflection description="full negative deflection">
+ <value>-25.0</value>
+ <unit>deg</unit>
+ <lower_boundary>-90</lower_boundary>
+ <upper_boundary>0</upper_boundary>
+ </full_negative_deflection>
+ <full_positive_deflection description="full positive deflection">
+ <value>25.0</value>
+ <unit>deg</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>90</upper_boundary>
+ </full_positive_deflection>
+ </deflection>
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.1</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>0.9</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </control_device>
+ </control_devices>
+ </tail_element>
+ <tail_element description="tail element" ID="1">
+ <name description="element name - do not change">
+ <value>horizontal_stabiliser</value>
+ </name>
+ <parameter description="parameters for sizing/resizing">
+ <offset>
+ <rear_x_offset description="x offset from rear of fuselage sizing/resizing parameter">
+ <value>1.0</value>
+ <unit>m</unit>
+ <lower_boundary>0.5</lower_boundary>
+ <upper_boundary>3</upper_boundary>
+ </rear_x_offset>
+ <centerline_y_offset description="y offset from centerline of fuselage">
+ <value>0.0</value>
+ <unit>m</unit>
+ <lower_boundary>-40.0</lower_boundary>
+ <upper_boundary>40.0</upper_boundary>
+ </centerline_y_offset>
+ <centerline_z_offset description="z offset from centerline of fuselage">
+ <value>0.0</value>
+ <unit>m</unit>
+ <lower_boundary>-5.0</lower_boundary>
+ <upper_boundary>5.0</upper_boundary>
+ </centerline_z_offset>
+ </offset>
+ <volume_coefficient description="VolumeCoefficient - if 0.0 -> automatic values will be generated">
+ <value>0.0</value> <!-- 1.0185-->
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>2</upper_boundary>
+ </volume_coefficient>
+ <factor_aspect_ratio description= "factor to wing aspect ratio">
+ <value>0.53</value>
+ <unit>1</unit>
+ <lower_boundary>0.02</lower_boundary>
+ <upper_boundary>2</upper_boundary>
+ </factor_aspect_ratio>
+ <factor_taper_ratio description="factor to wing taper ratio">
+ <value>1.66</value>
+ <unit>1</unit>
+ <lower_boundary>0.02</lower_boundary>
+ <upper_boundary>2</upper_boundary>
+ </factor_taper_ratio>
+ <delta_sweep description="additional sweep to wing sweep">
+ <value>5.0</value>
+ <unit>deg</unit>
+ <lower_boundary>-45</lower_boundary>
+ <upper_boundary>45</upper_boundary>
+ </delta_sweep>
+ </parameter>
+ <profiles description="tail profile for both inner and outer section">
+ <profile description="tail profile at section 0" ID="0">
+ <name description="profile name">
+ <value>n0012</value>
+ </name>
+ </profile>
+ <profile description="tail profile at section 0" ID="1">
+ <name description="profile name">
+ <value>n0012</value>
+ </name>
+ </profile>
+ </profiles>
+ <spars description="spars">
+ <spar description="spar element" ID="0">
+ <name description="name of spar">
+ <value>front_spar</value>
+ </name>
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.0</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>1</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </spar>
+ <spar description="spar element" ID="1">
+ <name description="name of spar">
+ <value>rear_spar</value>
+ </name>
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.0</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="relative chord position">
+ <from description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>0.6</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </spar>
+ </spars>
+ <control_devices description="control devices">
+ <control_device description="control device" ID="0">
+ <type description="type of control surface">
+ <value>elevator</value>
+ </type>
+ <deflection description="maximum positive and negative deflection of control device">
+ <full_negative_deflection description="full negative deflection">
+ <value>-25.0</value>
+ <unit>deg</unit>
+ <lower_boundary>-90</lower_boundary>
+ <upper_boundary>0</upper_boundary>
+ </full_negative_deflection>
+ <full_positive_deflection description="full positive deflection">
+ <value>25.0</value>
+ <unit>deg</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>90</upper_boundary>
+ </full_positive_deflection>
+ </deflection>
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>0.9</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </control_device>
+ </control_devices>
+ </tail_element>
+ </conventional>
+ </low_fidelity>
+ </tube_and_wing>
+ <blended_wing_body>
+ <fidelity_selection description="selection of fidelity level">
+ <value>low</value>
+ </fidelity_selection>
+ <tailtype_selection description="selection of tailtype">
+ <value>vertical_tails</value>
+ </tailtype_selection>
+ <low_fidelity description="Low fidelity methods">
+ <vertical_tails description="vertical tails method - creates symmetric tails">
+ <tail_element description="tail element" ID="0">
+ <name description="element name">
+ <value>vertical_tail_center_body</value>
+ </name>
+ <parameter description="parameters for sizing">
+ <offset>
+ <rear_x_offset description="x offset from rear of fuselage sizing/resizing parameter">
+ <value>2.0</value>
+ <unit>m</unit>
+ <lower_boundary>0.5</lower_boundary>
+ <upper_boundary>3</upper_boundary>
+ </rear_x_offset>
+ <centerline_y_offset description="y offset from centerline of fuselage">
+ <value>5</value>
+ <unit>m</unit>
+ <lower_boundary>-40.0</lower_boundary>
+ <upper_boundary>40.0</upper_boundary>
+ </centerline_y_offset>
+ <centerline_z_offset description="z offset from centerline of fuselage">
+ <value>0.0</value>
+ <unit>m</unit>
+ <lower_boundary>-5.0</lower_boundary>
+ <upper_boundary>5.0</upper_boundary>
+ </centerline_z_offset>
+ </offset>
+ <volume_coefficient description="volumecoefficient sizing/resizing parameter">
+ <value>0.024</value>
+ <unit>1</unit>
+ <lower_boundary>0.002</lower_boundary>
+ <upper_boundary>2.0</upper_boundary>
+ </volume_coefficient>
+ <factor_aspect_ratio description= "factor to wing aspect ratio">
+ <value>0.5</value>
+ <unit>1</unit>
+ <lower_boundary>0.1</lower_boundary>
+ <upper_boundary>4</upper_boundary>
+ </factor_aspect_ratio>
+ <factor_taper_ratio description="factor to wing taper ratio">
+ <value>3</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>20</upper_boundary>
+ </factor_taper_ratio>
+ <delta_sweep description="additional sweep to wing sweep">
+ <value>-10</value>
+ <unit>deg</unit>
+ <lower_boundary>-90</lower_boundary>
+ <upper_boundary>90</upper_boundary>
+ </delta_sweep>
+ </parameter>
+ <profiles description="tail profile for both inner and outer section">
+ <profile description="tail profile at section 0" ID="0">
+ <name description="profile name">
+ <value>n0012</value>
+ </name>
+ </profile>
+ <profile description="tail profile at section 0" ID="1">
+ <name description="profile name">
+ <value>n0012</value>
+ </name>
+ </profile>
+ </profiles>
+ <spars description="spars">
+ <spar description="front spar" ID="0">
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>0.9</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </spar>
+ <spar description="rear spar" ID="1">
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </spar>
+ </spars>
+ <control_devices description="control devices">
+ <control_device description="control device" ID="0">
+ <type description="type of control surface">
+ <value>rudder</value>
+ </type>
+ <deflection description="maximum positive and negative deflection of control device">
+ <full_negative_deflection description="full negative deflection">
+ <value>-25.0</value>
+ <unit>deg</unit>
+ <lower_boundary>-90</lower_boundary>
+ <upper_boundary>0</upper_boundary>
+ </full_negative_deflection>
+ <full_positive_deflection description="full positive deflection">
+ <value>25.0</value>
+ <unit>deg</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>90</upper_boundary>
+ </full_positive_deflection>
+ </deflection>
+ <position description="chord relative position of control device">
+ <inner_position description="relative inner position">
+ <spanwise description="relative spanwise position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </inner_position>
+ <outer_position description="relative outer position">
+ <spanwise description="relative spanwise position">
+ <value>0.2</value>
+ <unit>1</unit>
+ <lower_boundary>0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </spanwise>
+ <chord description="control device chord position">
+ <from description="relative chord position">
+ <value>0.7</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </from>
+ <to description="relative chord position">
+ <value>1.0</value>
+ <unit>1</unit>
+ <lower_boundary>0.0</lower_boundary>
+ <upper_boundary>1.0</upper_boundary>
+ </to>
+ </chord>
+ </outer_position>
+ </position>
+ </control_device>
+ </control_devices>
+ </tail_element>
+ </vertical_tails>
+ </low_fidelity>
+ </blended_wing_body>
+ </program_settings>
+</module_configuration_file>
diff --git a/EMPBA01/filtered_data.json b/EMPBA01/filtered_data.json
new file mode 100644
index 0000000000000000000000000000000000000000..fb349b7f4a235df48abc439dcab8fcec4eeb9393
--- /dev/null
+++ b/EMPBA01/filtered_data.json
@@ -0,0 +1,7667 @@
+{
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+ ]
+}
\ No newline at end of file
diff --git a/EMPBA01/main.py b/EMPBA01/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..7057ec35735cfce8b19780469aef7d33b5e0e7f7
--- /dev/null
+++ b/EMPBA01/main.py
@@ -0,0 +1,95 @@
+"""Calculation module main file."""
+# Import standard modules.
+import sys
+import logging
+from sys import argv
+import traceback
+from termcolor import colored
+
+# Import own modules.
+from runmodule import run_module
+from src.datapreprocessing import data_preprocessing
+#from src.datapostprocessing import data_postprocessing
+
+def main():
+ """Execute the main program for cost estimation.
+
+ This function serves as the main entry point for performing the cost estimation.
+ It goes through the following key steps:
+ (1) Preprocessing - Acquire necessary data and paths: Call the 'data_preprocessing' function from
+ 'datapreprocessing.py' to set up data and routing information.
+ (2) Run (main processing) - Execute code depending on method layers: Execute the 'run_module' function from the
+ 'methodexecutionpackage' library. The 'run_module' function is responsible for the programs primary logic.
+ (3) Postprocessing - Write data to the aircraft exchange file and generate plots and reports: Call the
+ 'data_postprocessing' function from 'datapostprocessing.py' to handle postprocessing tasks. This step receives
+ data from both the preprocessing and the main processing step.
+
+ Note: The 'routing_dict' dictionary is used to manage the routing and execution of different program components.
+
+ :raises AttributeError: Raised to handle attribute exceptions
+ :raises FileNotFoundError: Raised to handle file not found exceptions
+ :raises IndexError: Raised to handle index exceptions
+ :raises KeyError: Raised to handle key exceptions
+ :raises ModuleNotFoundError: Raised to handle module not found exceptions
+ :raises OSError: Raised to handle operating system exceptions
+ :raises TypeError: Raised to handle type exceptions
+ :raises ValueError: Raised to handle value exceptions
+ :raises ZeroDivisionError: Raised to handle zero division exceptions
+ :raises Exception: Raised to handle other exceptions
+ :return: None
+ """
+ module_name = "empba"
+ module_config_file = "empba_conf.xml"
+
+ # Initialize exception string and runtime output logger.
+ runtime_output = logging.getLogger('module_logger')
+ tool_name = "empba"
+
+ try:
+ """Preprocessing: Acquire necessary data and paths."""
+ # Run 'data_preprocessing' function from 'datapreprocessing.py'.
+ paths_and_names, routing_dict, runtime_output = data_preprocessing(
+ module_config_file, argv)
+ runtime_output.print(f'{module_name} started...')
+
+ """Run: Execute code depending on method layers."""
+ # Execute 'run_module' function from 'methodexecutionpackage' library. This function is responsible for the
+ # main logic of the program.
+ run_output_dict = run_module(
+ paths_and_names, routing_dict, runtime_output)
+
+ """Postprocessing: Write data to aircraft exchange file and generate plots and reports."""
+ # Run 'data_postprocessing' function from 'datapostprocessing.py' to handle postprocessing tasks. Receives data
+ # from preprocessing and main processing step.
+ data_postprocessing(paths_and_names, routing_dict,
+ run_output_dict, runtime_output)
+ runtime_output.print(f'{module_name} finished.')
+
+ except Exception as e: # pylint: disable=broad-exception-caught
+ # Handle other exceptions.
+
+ # Check if exception raised.
+ runtime_output.critical(exception_string_msg(e, tool_name))
+ sys.exit(1)
+
+
+def exception_string_msg(error, tool_name: str) -> str:
+ error_type = str(type(error).__name__)
+ error_trace = traceback.extract_tb(error.__traceback__)
+ error_file, error_line, error_func, error_code = error_trace[-1]
+ error_file = error_file.split('/')[-1]
+
+ exception_string = f"{error_type} : \n"
+ exception_string += f"File : {error_file} \n"
+ exception_string += f"Function / Method: {error_func} \n"
+ exception_string += f"Line : {error_line} \n"
+ exception_string += f"Code : {error_code} \n"
+ exception_string += f"Error message : {str(error)} \n"
+
+ return colored(exception_string + "\n" + " "
+ + f"Main execution of {tool_name} module failed! \n"
+ + " " + "Program aborted.", 'red')
+
+
+if __name__ == '__main__':
+ main()
diff --git a/EMPBA01/results.json b/EMPBA01/results.json
new file mode 100644
index 0000000000000000000000000000000000000000..b38cc0a676ba8ca3917cef0b9560c09ee0754687
--- /dev/null
+++ b/EMPBA01/results.json
@@ -0,0 +1,46 @@
+{
+ "fh_f_cry": [
+ 0.21740866711867055,
+ 0.2147059465333153,
+ 0.2120032259479599,
+ 0.20930050536260467,
+ 0.20659778477724933,
+ 0.20389506419189402,
+ 0.20119234360653868,
+ 0.1984896230211834,
+ 0.19578690243582805,
+ 0.1930841818504728,
+ 0.1903814612651174,
+ 0.18767874067976217,
+ 0.18497602009440686,
+ 0.18227329950905152,
+ 0.1795705789236962,
+ 0.17686785833834087,
+ 0.17416513775298556,
+ 0.1714624171676303,
+ 0.1687596965822749,
+ 0.16605697599691963
+ ],
+ "fh_f_ss": [
+ 0.10030817481065507,
+ 0.10626080422014586,
+ 0.11227703065177877,
+ 0.11835787877116917,
+ 0.12450439537513469,
+ 0.1307176499924383,
+ 0.1369987355042068,
+ 0.14334876878478192,
+ 0.1497688913637894,
+ 0.15626027011025517,
+ 0.16282409793962588,
+ 0.16946159454459492,
+ 0.176174007150676,
+ 0.18296261129750452,
+ 0.18982871164689596,
+ 0.19677364281873835,
+ 0.2037987702558395,
+ 0.2109054911189112,
+ 0.21809523521291796,
+ 0.22536946594608276
+ ]
+}
\ No newline at end of file
diff --git a/EMPBA01/results.pkl b/EMPBA01/results.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..c76b5dad0749fc02735d6d79157f9e134052a6a4
Binary files /dev/null and b/EMPBA01/results.pkl differ
diff --git a/EMPBA01/src/datapostprocessing.py b/EMPBA01/src/datapostprocessing.py
new file mode 100644
index 0000000000000000000000000000000000000000..9455f5a6da4d1d1ea5c5b7693d034a2d800bdc69
--- /dev/null
+++ b/EMPBA01/src/datapostprocessing.py
@@ -0,0 +1,111 @@
+"""Module providing functions for data postprocessing."""
+# Import standard modules.
+
+# Import own modules.
+from datapostprocessingmodule import method_data_postprocessing
+from datapostprocessingmodule import write_key_data_to_aircraft_exchange_file
+from datapostprocessingmodule import prepare_element_tree_for_module_key_parameter
+
+from .tube_and_wing.standard.basic.massPropertiesIO import MassPropertiesIO
+
+
+def data_postprocessing(paths_and_names, routing_dict, data_dict, runtime_output):
+ """Perform data postprocessing and write data to an aircraft exchange file.
+
+ This function is responsible for data postprocessing that involves the following steps:
+ (1) Data preparation: The module manager prepares a list containing all paths to the key parameters that must
+ be written to the aircraft exchange file.
+ (2) Write data to the aircraft exchange file: The results of the module execution are passed on to the function
+ responsible for properly writing the data to the aircraft exchange file.
+ (3) Method-specific data postprocessing: User-defined method-specific postprocessing is conducted as needed.
+
+ :param dict paths_and_names: Dictionary containing system paths and ElementTrees
+ :param dict routing_dict: Dictionary containing routing parameter
+ :param dict data_dict: Dictionary containing the result of the module execution (direct operating cost estimation)
+ :return: None
+ """
+
+ """Data preparation."""
+ # Changes to this list are the sole responsibility of the module manager!
+ paths_to_key_parameters_list = []
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("manufacturer_mass_empty"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("operating_mass_empty"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("maximum_takeoff_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("maximum_zero_fuel_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("maximum_payload_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("maximum_landing_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("maximum_fuel_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("ferry_range_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("most_forward_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("most_afterward_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("design_mass"))
+ paths_to_key_parameters_list.extend(
+ MassPropertiesIO().key_parameters_paths("design_fuel_mass"))
+
+ child_key_parameters_dict = {}
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("manufacturer_mass_empty", "MME"))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("operating_mass_empty", "OME"))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("maximum_takeoff_mass", "MTOM"))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("maximum_zero_fuel_mass", "MZFM"))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("maximum_payload_mass", ""))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("maximum_landing_mass", "MLM"))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("maximum_fuel_mass", ""))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("ferry_range_mass", ""))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("most_forward_mass", ""))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("most_afterward_mass", ""))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("design_mass", ""))
+ child_key_parameters_dict.update(
+ MassPropertiesIO().key_parameters_dicts("design_fuel_mass", ""))
+
+ module_key_parameters_dict = {
+ "analysis": {
+ "masses_cg_inertia": {
+ "attributes": {"description": "Masses, Center of Gravity, Inertias.",
+ "tool_level": "0"},
+ **child_key_parameters_dict}
+ }
+ }
+
+ paths_and_names = prepare_element_tree_for_module_key_parameter(
+ paths_and_names, module_key_parameters_dict)
+
+ # Run 'user_method_data_output_preparation' from 'usermethoddatapreparation.py'.
+ key_output_dict, method_specific_output_dict = routing_dict['func_user_method_data_output_preparation'](
+ data_dict)
+ # Extract tool level from routing dictionary.
+ tool_level = routing_dict['tool_level']
+
+ """Write data to aircraft exchange file."""
+ # Extract root and path to aircraft exchange file.
+ root_of_aircraft_exchange_tree = paths_and_names['root_of_aircraft_exchange_tree']
+ path_to_aircraft_exchange_file = paths_and_names['path_to_aircraft_exchange_file']
+ # Write key data to aircraft exchange file.
+ write_key_data_to_aircraft_exchange_file(root_of_aircraft_exchange_tree, path_to_aircraft_exchange_file,
+ paths_to_key_parameters_list, key_output_dict, tool_level, runtime_output)
+
+ """Method-specific postprocessing."""
+ # Run 'method_data_postprocessing' from 'datapostprocessingmodule'.
+ method_data_postprocessing(paths_and_names, routing_dict, data_dict,
+ method_specific_output_dict, runtime_output)
diff --git a/EMPBA01/src/datapreprocessing.py b/EMPBA01/src/datapreprocessing.py
new file mode 100644
index 0000000000000000000000000000000000000000..d001a0d62ee21b66d72a8500ff6655630c2b6bb5
--- /dev/null
+++ b/EMPBA01/src/datapreprocessing.py
@@ -0,0 +1,140 @@
+# UNICADO - UNIversity Conceptual Aircraft Design and Optimization
+#
+# Copyright (C) 2024 UNICADO consortium
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with this program. If not, see <https://www.gnu.org/licenses/>.
+#
+# Description:
+# This file is part of UNICADO.
+
+"""Module providing functions for data preprocessing."""
+# Import standard modules.
+import importlib
+import sys
+
+# Import own modules.
+from datapreprocessingmodule import get_paths_and_names, read_routing_values_from_xml
+
+
+def data_preprocessing(module_configuration_file, argv):
+ """Conduct data preprocessing.
+
+ This function provides data preprocessing functionalities. It sets up the necessary data and imports
+ relevant modules. The importlib module is used to dynamically import necessary modules.
+
+ The output dictionary 'preprocessing_dict' contains the following values:
+ - 'layer_1': First routing layer (aircraft configuration) (str)
+ - 'layer_2': Second routing layer (calculation method fidelity) (str)
+ - 'layer_3': Third routing layer (calculation method) (str)
+ - 'user_layer': Last routing layer (fuel type) (user layer) (str)
+ - 'tool_level': Tool level of current tool (str)
+ - 'module_import_name': Dynamic string for dynamically generated module import name based on layers (str)
+ - 'module_name': Module name (name of the module configuration file without its file extension) (str)
+ - 'func_user_method_data_input_preparation': Reference to 'user_method_data_input_preparation' function
+ - 'func_user_method_data_output_preparation': Reference to 'user_method_data_output_preparation' function
+
+ :param str module_configuration_file: Name of module configuration file
+ :param list argv: List with optional input arguments
+ :returns:
+ - dict paths_and_names: Dictionary containing system paths and ElementTrees
+ - dict preprocessing_dict: Dictionary containing data preprocessing results
+ """
+
+ """Get paths, names, and xml trees for module configuration and aircraft exchange file."""
+ # Call 'get_paths_and_names' function to obtain various paths and names.
+ paths_and_names, runtime_output = get_paths_and_names(
+ module_configuration_file, argv)
+ # Note: It is the exclusive responsibility of the module manager to modify the following information!
+ # Create layer description dictionary according to the number of individual layers.
+ # The dictionary associates layers with their respective XML paths and expected data types according to the
+ # following scheme:
+ # layer_description_dict = {'layer_1': [path, expected data type], 'layer_2': [...]}
+ configuration_type = paths_and_names['root_of_aircraft_exchange_tree'].find(
+ './requirements_and_specifications/design_specification/configuration/configuration_type/value').text
+ category = paths_and_names['root_of_module_config_tree'].find(
+ f"./program_settings/{configuration_type}/category/value").text
+ design_specification_path = \
+ 'aircraft_exchange_file/requirements_and_specifications/design_specification/'
+
+ layer_description_dict = {
+ 'layer_1': [f"{design_specification_path}/configuration/configuration_type/value", str],
+ 'layer_2': [f"module_configuration_file/program_settings/{configuration_type}/category/value", str],
+ 'user_layer': [f"module_configuration_file/program_settings/{configuration_type}/{category}/method/value", str]
+ }
+
+ """ Extract data from aircraft exchange and module configuration file."""
+ # Extract root and path to aircraft exchange file and write key data to aircraft exchange file.
+ root_of_aircraft_exchange_tree = paths_and_names['root_of_aircraft_exchange_tree']
+ root_of_module_configuration_file = paths_and_names['root_of_module_config_tree']
+
+ # Extract data from *.xml files based on the provided layer description. The result is stored in the
+ # 'preprocessing_dict' dictionary. It has the following output format (all values are strings):
+ # dict_out = {'layer_1': value, 'layer_2': value, 'layer_3': value, 'user_layer': value, 'tool_level': value}
+ preprocessing_dict = read_routing_values_from_xml(layer_description_dict, root_of_aircraft_exchange_tree,
+ root_of_module_configuration_file, runtime_output)
+ """Prepare and import modules."""
+ # Generate a dynamic import name 'module_import_name' for the selected calculation method modules based on the
+ # provided layer values according to the following scheme:
+ # 'src.[value of layer_1].[value of layer_2].[value of layer_3]'
+ module_import_name = 'src'
+ for _, value in list(preprocessing_dict.items())[:-2]:
+ module_import_name += '.' + value
+ # Create import commands by appending the python file name to the generated 'module_import_name'.
+ # This step is executed for the following python files:
+ # * 'usermethoddatapreparation.py'.
+ # E.g., the import command for the module import from the 'runmodule.py' file is as follows:
+ # 'src.[value of layer_1].[value of layer_2].[value of layer_3].usermethoddatapreparation'
+ import_command_user_method_data_preparation = module_import_name + \
+ '.usermethoddatapreparation'
+ import_command_user_method_plot = module_import_name + '.general.methodplot'
+ import_command_user_method_html_report = module_import_name + \
+ '.general.methodhtmlreport'
+ import_command_user_method_xml_export = module_import_name + '.general.methodxmlexport'
+ import_command_user_method_tex_output = module_import_name + '.general.methodtexoutput'
+
+ # Add module name and tool level to the preprocessing_dict.
+ preprocessing_dict['module_import_name'] = module_import_name
+ preprocessing_dict['module_name'] = module_configuration_file[:-9]
+
+ # Dynamically import modules and functions based on the generated import commands.
+ try:
+ # Import functions from the specified modules.
+ import_user_method_data_preparation = importlib.import_module(
+ import_command_user_method_data_preparation)
+ import_user_method_plot = importlib.import_module(
+ import_command_user_method_plot)
+ import_user_method_html_report = importlib.import_module(
+ import_command_user_method_html_report)
+ import_user_method_xml_export = importlib.import_module(
+ import_command_user_method_xml_export)
+ import_user_method_tex_output = importlib.import_module(
+ import_command_user_method_tex_output)
+ # Save the imported functions as variables in the 'preprocessing_dict' dictionary.
+ preprocessing_dict['func_user_method_data_input_preparation'] \
+ = import_user_method_data_preparation.user_method_data_input_preparation
+ preprocessing_dict['func_user_method_data_output_preparation'] \
+ = import_user_method_data_preparation.user_method_data_output_preparation
+ preprocessing_dict['func_user_method_plot'] = import_user_method_plot.method_plot
+ preprocessing_dict['func_user_method_html_report'] = import_user_method_html_report.method_html_report
+ preprocessing_dict['func_user_method_xml_export'] = import_user_method_xml_export.method_xml_export
+ preprocessing_dict['func_user_method_tex_output'] = import_user_method_tex_output.method_tex_output
+ # Exception handling for module import error.
+ except ModuleNotFoundError as module_import_error:
+ runtime_output_string = ('Error: ' + str(module_import_error) + ' found in '
+ + preprocessing_dict['module_name'] + '.\n'
+ + ' Program aborted.')
+ runtime_output.critical(runtime_output_string)
+ sys.exit(1)
+
+ return paths_and_names, preprocessing_dict, runtime_output
diff --git a/EMPBA01/src/tube_and_wing/conventional/methodconventional.py b/EMPBA01/src/tube_and_wing/conventional/methodconventional.py
new file mode 100644
index 0000000000000000000000000000000000000000..fd3a4899970121210a2a5782a65c797c16754c18
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/conventional/methodconventional.py
@@ -0,0 +1,820 @@
+import sys
+import pandas as pd
+import math
+import csv
+import numpy as np
+import copy
+import matplotlib.pyplot as plt
+import json
+from scipy.interpolate import interp1d
+import pyaircraftgeometry2 as geom2
+# import pyaixml as aixml
+
+import xml.etree.ElementTree as ET
+
+#Inputliste for volume coeff.
+#Airbus A321
+
+"""Volume coeff calculation"""
+
+"""xml read function"""
+# Load the XML file
+aircraft_xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\CSMR_2020.xml"
+
+try:
+ tree_aircraft = ET.parse(aircraft_xml_file)
+ root_aircraft = tree_aircraft.getroot()
+ print(f"Root tag: {root_aircraft.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+def extract_x_value(mass_element):
+ try:
+ x_element = mass_element.find(".//x/value")
+ if x_element is not None:
+ return float(x_element.text) # Convert the value to a float
+ else:
+ print(f"No x value found in {mass_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting x value: {e}")
+ return None
+
+
+# Extract x values for both masses
+most_forward_mass = root_aircraft.find(".//most_forward_mass")
+most_afterward_mass = root_aircraft.find(".//most_afterward_mass")
+
+if most_forward_mass is not None:
+ forward_x = extract_x_value(most_forward_mass)
+ print(f"Most Forward Mass x-value: {forward_x}")
+else:
+ print("most_forward_mass element not found.")
+
+if most_afterward_mass is not None:
+ afterward_x = extract_x_value(most_afterward_mass)
+ print(f"Most Afterward Mass x-value: {afterward_x}")
+else:
+ print("most_afterward_mass element not found.")
+
+#extract x values pos for fuselage, wing, and empennage
+wing_pos = root_aircraft.find("component_design/wing/position")
+fuselage_pos = root_aircraft.find("component_design/fuselage/position")
+empennage_pos = root_aircraft.find("component_design/empennage/position")
+
+if wing_pos is not None:
+ wing_x = extract_x_value(wing_pos)
+ print(f"wing pos. x-value: {wing_x}")
+else:
+ print("wing pos x-value element not found.")
+
+if fuselage_pos is not None:
+ fuselage_x = extract_x_value(fuselage_pos)
+ print(f"fuselage pos x-value: {fuselage_x}")
+else:
+ print("fuselage pos x-value element not found.")
+
+if empennage_pos is not None:
+ empennage_x = extract_x_value(empennage_pos)
+ print(f"empennage pos x-value: {empennage_x}")
+else:
+ print("empennage pos x-value element not found.")
+
+#extract values for variables.
+def extract_ref_value(ref_element):
+ try:
+ ref_element = ref_element.find(".//value")
+ if ref_element is not None:
+ return float(ref_element.text) # Convert the value to a float
+ else:
+ print(f"No ref value found in {ref_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting ref value: {e}")
+ return None
+
+ref_value_wing_span = root_aircraft.find("analysis/aerodynamics/reference_values/b")
+ref_value_wing_mac = root_aircraft.find("analysis/aerodynamics/reference_values/MAC")
+ref_value_wing_area = root_aircraft.find("analysis/aerodynamics/reference_values/S_ref")
+ref_value_neutral_point = root_aircraft.find("analysis/aerodynamics/reference_values/neutral_point")
+
+if ref_value_wing_span is not None:
+ B_wing = extract_ref_value(ref_value_wing_span)
+ print(f"wing span ref-value: {B_wing}")
+else:
+ print("wing span element not found.")
+
+if ref_value_wing_mac is not None:
+ L_mu = extract_ref_value(ref_value_wing_mac)
+ print(f"wing MAC ref-value: {L_mu}")
+else:
+ print("wing MAC element not found.")
+
+if ref_value_wing_area is not None:
+ F_Wing = extract_ref_value(ref_value_wing_area)
+ print(f"wing area ref-value: {F_Wing}")
+else:
+ print("wing area element not found.")
+
+if ref_value_neutral_point is not None:
+ AC_global = extract_x_value(ref_value_neutral_point)
+ print(f"global neutral point x-value: {AC_global}")
+else:
+ print("global neutral point not found.")
+
+# def read_wing(paths):
+
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# airfoil_data_dir = f'{paths["project_directory"]}/geometry_data/airfoil_data'
+
+# return geom2.factory.WingFactory(acxml, airfoil_data_dir).create("wing/specific/geometry/aerodynamic_surface@0")
+
+
+# def read_fuselage(paths):
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# geometry_data_dir = f'{paths["project_directory"]}/geometry_data/'
+# return geom2.factory.FuselageFactory(acxml, geometry_data_dir).create("fuselage/specific/geometry/fuselage@0")
+# Read fuselage and wing
+# wing = read_wing(paths_and_names)
+# fuselage = read_fuselage(paths_and_names)
+# fuselage_length = geom2.measure.length(fuselage)
+# wing_span = geom2.measure.span(wing)
+
+#wing and empennage from report
+
+B_wing = 35.45 #half Wing span
+L_mu = 4.16 #MAC Wing
+F_Wing = 122.02 #reference Area Wing
+streckungH = 5.46 #Aspect ratio HLW
+lambdaH = 0.28 #tapper ratio HLW
+pfeilungH = 27.58 #sweep quarter cord
+Fh = 23.41 #reference Area HLW
+Bh = 11.31 #half HLW span
+L_mu_h = 2.29 #MAC HLW
+
+lange_rumpf = 37
+rh = (empennage_x+(0.25*L_mu_h))-(wing_x+(0.25*L_mu))
+
+Vh = (Fh*rh)/(F_Wing*L_mu) #volume coeff. from HLW
+
+#wing geometry
+Tapper_Lambda = 0.17
+aspect_Ratio= 10.30
+pfeilung25 = 27
+
+
+# Output results
+print(f"rh: {rh}")
+print(f"Fh: {Fh}")
+print(f"Bh: {Bh}")
+
+"""Aerodynamic Calculation"""
+# Path to the XML file
+xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\SMR-2020_design_trimmed_polar.xml"
+
+try:
+ tree = ET.parse(xml_file)
+ root = tree.getroot()
+ print(f"Root tag: {root.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+# Dictionary to store configurations and their polar data
+configurations_data = {}
+
+# Iterate over all configurations
+configurations = root.findall("configurations/configuration")
+if not configurations:
+ print("No configurations found.")
+else:
+ for configuration in configurations:
+ config_id = configuration.get("ID", "No ID")
+ name = configuration.find("name").text if configuration.find("name") is not None else "No name"
+ comment = configuration.find("comment").text if configuration.find("comment") is not None else "No comment"
+
+ # Initialize storage for polars under this configuration
+ polars_data = []
+
+ # Extract polars for this configuration
+ polars = configuration.find("polars")
+ if polars is not None:
+ for polar in polars.findall("polar"):
+ polar_data = {
+ "ID": polar.get("ID", "No ID"),
+ "ExtrapolationMargin": polar.get("ExtrapolationMargin", "No ExtrapolationMargin"),
+ "AllowGridChange": polar.get("AllowGridChange", "No AllowGridChange"),
+ "ReynoldsNumber": polar.find("reynoldsnumber").text if polar.find("reynoldsnumber") is not None else "No reynoldsnumber",
+ "Altitude": polar.find("altitude").text if polar.find("altitude") is not None else "No altitude",
+ "MachNumber": None, # Default to None for invalid or missing values
+ "Alpha": [],
+ "Cl": [],
+ "Cm":[],
+ "iStab_polar": []
+ }
+
+ # Parse Mach Number and convert to float if valid
+ mach_number_text = polar.find("machnumber").text if polar.find("machnumber") is not None else "No machnumber"
+ try:
+ polar_data["MachNumber"] = float(mach_number_text) if mach_number_text != "No machnumber" else None
+ except ValueError:
+ print(f"Error converting Mach Number to float: {mach_number_text}")
+
+ # Parse Alpha values
+ alpha_text = polar.find("Alpha").text if polar.find("Alpha") is not None else "No Alpha"
+ if alpha_text != "No Alpha":
+ try:
+ polar_data["Alpha"] = [float(value) for value in alpha_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Alpha values to floats: {alpha_text}")
+
+ # Parse Cl values
+ cl_text = polar.find("Cl").text if polar.find("Cl") is not None else "No Cl"
+ if cl_text != "No Cl":
+ try:
+ polar_data["Cl"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cl values to floats: {cl_text}")
+ cm_text = polar.find("Cm").text if polar.find("Cm") is not None else "No Cm"
+ if cm_text != "No Cm":
+ try:
+ polar_data["Cm"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cm values to floats: {cm_text}")
+
+ # Parse iStab_polar values
+ istab_polar_text = polar.find("iStab_polar").text if polar.find("iStab_polar") is not None else "No iStab_polar"
+ if istab_polar_text != "No iStab_polar":
+ try:
+ polar_data["iStab_polar"] = [float(value) for value in istab_polar_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting iStab_polar values to floats: {istab_polar_text}")
+
+ # Append the parsed polar data to the list for this configuration
+ polars_data.append(polar_data)
+
+ # Store the data for this configuration
+ configurations_data[config_id] = {
+ "Name": name,
+ "Comment": comment,
+ "Polars": polars_data
+ }
+
+# # Output the structured data
+#for config_id, config_data in configurations_data.items():
+# print(f"\nConfiguration ID: {config_id}")
+# print(f" Name: {config_data['Name']}")
+# print(f" Comment: {config_data['Comment']}")
+# print(" Polars:")
+# for polar in config_data["Polars"]:
+# print(f" Polar ID: {polar['ID']}")
+# print(f" Extrapolation Margin: {polar['ExtrapolationMargin']}")
+# print(f" Allow Grid Change: {polar['AllowGridChange']}")
+# print(f" Reynolds Number: {polar['ReynoldsNumber']}")
+# print(f" Altitude: {polar['Altitude']}")
+# print(f" Mach Number: {polar['MachNumber']}")
+# print(f" Alpha: {polar['Alpha']}")
+# print(f" Cl: {polar['Cl']}")
+# print(f" Cm: {polar['Cm']}")
+# print(f" iStab_polar: {polar['iStab_polar']}")
+
+#calculation from the whole airplane to get the xAC wing and empennage
+
+# User selects a specific configuration to calculate
+config_id_to_calculate = "takeoff"#input("Enter the configuration ID to calculate (e.g., clean, takeoff, landing): ").strip()
+
+# Ensure the input is valid and matches a configuration
+if config_id_to_calculate not in configurations_data:
+ print(f"Configuration '{config_id_to_calculate}' not found. Please check your input.")
+else:
+ print(f"Calculating for configuration: {config_id_to_calculate}")
+
+ # Extract the data for the selected configuration
+ config_data = configurations_data[config_id_to_calculate]
+ polars = config_data.get("Polars", [])
+ if not polars:
+ print(f"No polars found for configuration {config_id_to_calculate}")
+ else:
+ polar_results = []
+
+ for polar in polars:
+ alpha_values = polar.get("Alpha", [])
+ cl_values = polar.get("Cl", [])
+ cm_values = polar.get("Cm", [])
+
+ if not alpha_values or not cl_values:
+ print(f"No Alpha or Cl values found in polar {polar.get('ID', 'Unknown')} for configuration {config_id_to_calculate}")
+ continue
+
+ number_alpha = len(alpha_values)
+ AC_wing = 0.25 * L_mu #NP for wing
+ AC_wing_pos = wing_x + AC_wing #AC wing position from the reff. point
+ CG_appr = np.linspace(forward_x, afterward_x, 20) #Array for most Forward CG until most Afterward CG
+
+ xac_global = CG_appr-AC_global #gap between the NP of whole Airplane with CG array
+
+ #to Calculate the cmAC and to filter it so we have only a positive cm AC for a static stability if the cm = 0
+ #calculate the cmAC for every Cl with the Xac Array to filter wich CG is still in the static Stability area
+ cm_AC_filtered = []
+ filtered_xac_globals = []
+ #seperate for clean and other configuration
+ for cl_index, cl in enumerate(cl_values):
+ if config_id_to_calculate == "clean":
+ cm_ac_for_cl = cl * (xac_global / L_mu) # Calculation for "clean"
+ else:
+ cm_ac_for_cl = cm_values[cl_index] - (cl * (0.5 * xac_global / L_mu)) # Calculation for others
+
+ positive_indices = [i for i, cm_ac in enumerate(cm_ac_for_cl) if cm_ac > 0]
+ cm_AC_filtered.extend(cm_ac_for_cl[positive_indices])
+ filtered_xac_globals.extend(xac_global[positive_indices])
+
+ filtered_xac_globals = sorted(set(filtered_xac_globals))
+ CG_appr = AC_global + np.array(filtered_xac_globals) #new CG appr for the filtered xac
+
+ xAC_wing_abs = AC_wing_pos - CG_appr #Xac for Wing
+
+ xAC_empennage_negative = xAC_wing_abs-rh #Xac for HLW
+
+ polar_results.append({
+ "Polar ID": polar.get("ID", "Unknown"),
+ "Number of Alpha": number_alpha,
+ "CG_appr_new": CG_appr.tolist(),
+ "xac_global": filtered_xac_globals,
+ "cm_AC": cm_AC_filtered,
+ "xAC_wing_abs": xAC_wing_abs.tolist(),
+ "xAC_empennage_negative": xAC_empennage_negative.tolist()
+ })
+
+ # Save the results for the selected configuration
+ results = {
+ config_id_to_calculate: {
+ "Name": config_data["Name"],
+ "Comment": config_data["Comment"],
+ "Polar Results": polar_results
+ }
+ }
+
+ # Save to a file named after the selected configuration
+ output_file = f"{config_id_to_calculate}_polar_results.json"
+ with open(output_file, "w") as f:
+ json.dump(results, f, indent=4)
+
+ print(f"\nResults for configuration '{config_id_to_calculate}' saved to {output_file}")
+
+
+
+#calculation to get the specified aerodynamics coeff for wing and empennage first only for clean
+#Profil NACA n0012 (symmetric Profil)
+
+# Initialize a variable to hold the results for the configuration
+# Extract configuration from the results
+clean_configuration = results.get("takeoff", {})
+
+# Check if the clean configuration exists
+if clean_configuration:
+ # Search for polar with ID 11 in the clean configuration
+ polar_11 = None
+ for polar in clean_configuration.get("Polar Results", []):
+ if polar.get("Polar ID") == "1": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the polar values
+ cm_ac = polar_11.get("cm_AC", [])
+ cg_appr = polar_11.get("CG_appr", [])
+ xac_global = polar_11.get("xac_global", [])
+ xac_wing_abs = polar_11.get("xAC_wing_abs", [])
+ xac_empennage_negative = polar_11.get("xAC_empennage_negative", [])
+
+ # #Print out the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Clean Configuration):")
+ # print(f"Positive cm_AC: {cm_ac}")
+ # print(f"Filtered CG_appr: {cg_appr}")
+ # print(f"Filtered xac_global: {xac_global}")
+ # print(f"Filtered xAC_wing_abs: {xac_wing_abs}")
+ # print(f"Filtered xAC_empennage_negative: {xac_empennage_negative}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the results.")
+
+# Access the configurations data to find the clean configuration
+clean_configuration_data = configurations_data.get("takeoff", {})
+
+# Check if the clean configuration exists
+if clean_configuration_data:
+ # Get the polar data for the clean configuration
+ polars = clean_configuration_data.get("Polars", [])
+
+ # Search for the polar with ID 11
+ polar_11 = None
+ for polar in polars:
+ if polar.get("ID") == "1": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the variables
+ mach_number = polar_11.get("MachNumber")
+ alpha = polar_11.get("Alpha", [])
+ cl = polar_11.get("Cl", [])
+ cm = polar_11.get("Cm", [])
+ istab_polar = polar_11.get("iStab_polar", [])
+
+ # Print the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Configurations Data):")
+ # print(f"Filtered Alpha: {filtered_alpha}")
+ # print(f"Filtered Cl: {filtered_cl}")
+ # print(f"Filtered iStab_polar: {filtered_istab_polar}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the configurations data.")
+
+import json
+output_file = "configuration_polar_results_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+import json
+output_file = "configuration_polar_data_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration_data, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+
+"""
+Start of the Calculation for the aerodynamics
+"""
+
+#for symmetry Profil
+
+alpha_0_w = 0
+alpha_0_h = 0
+cl_0_w = 0
+cl_0_h = 0
+nu = 0.9 #dynamic Pressure efficiency
+
+def find_max_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ max_alpha = max(alpha_array)
+ max_alpha_index = alpha_array.index(max_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_max = cl_array[max_alpha_index]
+
+ return {
+ "Max Alpha": max_alpha,
+ "Max Alpha Index": max_alpha_index,
+ "Corresponding Cl max": corresponding_cl_max
+ }
+
+
+def find_min_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ min_alpha = min(alpha_array)
+ min_alpha_index = alpha_array.index(min_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_min = cl_array[min_alpha_index]
+
+ return {
+ "Min Alpha": min_alpha,
+ "Min Alpha Index": min_alpha_index,
+ "Corresponding Cl min": corresponding_cl_min
+ }
+
+alpha_diff = max(alpha)-min(alpha) #Max Alpha as X2 and Min Alpha as X1
+#print (f"alpha gradient = {alpha_diff}")
+length = len(alpha)
+cl_max_alpha = find_max_alpha_and_corresponding_cl(alpha,cl) #as Y2
+cl_min_alpha = find_min_alpha_and_corresponding_cl(alpha,cl) #as Y1
+cl_diff = cl_max_alpha["Corresponding Cl max"] - cl_min_alpha["Corresponding Cl min"]
+#print (f"cl diff : {cl_diff}")
+
+cl_alpha = cl_diff/np.radians(alpha_diff) #the calculated gradient
+print(f"cl alpha: {cl_alpha}")
+
+cm_alpha = cl_alpha*(np.array(xac_global)/L_mu)
+
+print (f"cm alpha:{cm_alpha}")
+
+#s_m_s = -1*(np.array(xac_global)/L_mu) *100 #in percentage
+s_m_s = -1*(cm_alpha/cl_alpha) *100 #in percentage
+
+iw = 0 #simplified wing angle the same as airplane
+FF = aspect_Ratio/((cl_alpha/(2*math.pi))*np.cos(np.radians(pfeilung25))) #Formfaktor from FE1
+k0 = (0.2692*FF)-(0.03873*pow(FF,2))+(0.002951*pow(FF,3))-(0.0001106*pow(FF,4))+((1.559/1000000)*pow(FF,5)) #Polynomapproximation Konstanten from FE1
+cl_W_alpha = cl_alpha*k0*np.cos(np.radians(pfeilung25))
+print(f"cl alpha for wing : {cl_W_alpha}")
+
+cl_W = cl_0_w + (cl_W_alpha*(np.radians(np.array(alpha)+iw)))
+#print(f"cl wing: {cl_W}")
+
+#Factor for Aspect Ratio
+k_AR = (1/aspect_Ratio)-(1/(1+(aspect_Ratio**1.7)))
+
+#factor for the Tapper ratio
+k_TR = (1-(3*Tapper_Lambda))/7
+
+#HLW position factor
+z_HLW = 0.92429206 #position of HLW in z axes
+k_H = (1-np.abs(z_HLW/B_wing))/(np.sqrt((2*rh)/B_wing))
+
+de_da = (2*cl_W_alpha)/(math.pi*aspect_Ratio)
+#4.44*(k_AR*k_TR*k_H*np.sqrt(np.cos(np.radians(pfeilung25))))**1.19
+
+print(f"de da: {de_da}")
+
+E0 = 0 #for clow =0
+
+E = np.degrees((6*np.array(cl))/(aspect_Ratio*math.pi**2))
+#(E0+(de_da*(np.radians(np.array(alpha))+iw)))
+#print (f"angle of downwash E : {E}")
+
+cl_H_empennage_alpha = (math.pi*streckungH)/(1+np.sqrt(1+(0.25*streckungH*streckungH)*((np.radians(pfeilungH)**2)+1-((mach_number*mach_number)))))
+print (f"cl H empennage alpha: {cl_H_empennage_alpha}")
+
+#calculation for flap/elevator
+
+#approx. for tau
+tau_0 = 0.4
+tau_1 = 0.8
+se_sh_0 = 0.2
+se_sh_1 = 0.7
+
+
+se_sh = 0.45 #the Elevator and Empennage ratio for general Aviation with one Jet from Raymer
+teta_e_0 = -20 #maximal negative deflection for the HLW (positive is clockwise) so the flap is up
+teta_e_1 = 20 #maximal positive deflection for the HLW so the flap is down
+teta_e = np.linspace(teta_e_0, teta_e_1, length) #elevator angle as input array
+#print(f"teta e :{teta_e}")
+
+tau = ((tau_0*(se_sh_1-se_sh))+(tau_1*(se_sh-se_sh_0)))/(se_sh_1-se_sh_0)
+#print(f"tau is: {tau}")
+
+cl_teta_elevator = tau * cl_H_empennage_alpha
+#print(f"elevator cl teta: {cl_teta_elevator}")
+
+cm_teta_elevator = -1*nu*Vh*cl_teta_elevator
+cm_i_h = -1*nu*Vh*cl_H_empennage_alpha
+
+cl_H_empennage1 = ((cl-cl_W)*F_Wing)/(Fh*nu) #if the lift is only from wing and empennage
+#print(f"cl empennage :{cl_H_empennage1} ")
+
+cl_H_empennage2 = cl_0_h+ cl_H_empennage_alpha*(np.radians(np.array(alpha)-np.array(E)+np.array(istab_polar))) + (cl_teta_elevator*(np.radians(np.array(teta_e))))
+print(f"cl empennage :{cl_H_empennage2} ")
+
+
+xac_c_ = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+xac_c_cry = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+cr_ca = 0.75 #flap fowler to wing chord ratio from HTML wing report
+cl_max_to = 1.974 #maximal take off lift
+cl_max_clean = 0.509 #maximal lift from clean conf
+rho = 1.225 #sealevel density
+ze = -2.283411255 #the Position of Engine in Z axes from reff. Koordination
+T = 0.25 * 101461.9992*2 #the Thrust for 2 Engine also after the calculation of the resistance
+Mto = 72624.87634021531 #maximal take off mass
+v_stall = np.sqrt((2*9.87*Mto)/(rho*cl_max_to*F_Wing))
+print(f"v stall: {v_stall}")
+v_lof = 1.15 * v_stall #the speed for lift off
+qu = rho * 0.5 * v_lof**2 #staudruck
+d_cm0_et = 0
+et = 0#flügelschrankung
+
+
+
+c_m_T = ((T*ze)/(qu*(F_Wing)*L_mu))
+print(f"cmt:{c_m_T}")
+
+c_m_h_empennage = nu * Vh * np.array(cl_H_empennage2)
+#print(f" cm for empennage: {c_m_h_empennage}")
+#c_m_wing = cm-c_m_h_empennage-c_m_T
+
+# Find the index where Cl is exactly 0
+index_for_cl_zero = [i for i, cl in enumerate(cl_values) if cl == 0]
+
+# Use this index to find the corresponding values
+
+cm_0 = [cm[i] for i in index_for_cl_zero] #Nullmoment from the whole Airplane
+
+#-1*((cm_alpha*np.radians(alpha))+(cm_teta_elevator*np.radians(teta_e)))
+print(f" cm0 :{cm_0}")
+
+xcp_c_ = (-0.25*cr_ca)+0.5
+d_cl_flap = ((1.1*cl_max_to)-cl_max_clean)/0.95
+d_cm = d_cl_flap * (xac_c_cry-(xcp_c_*cr_ca))
+print(f"dcm :{d_cm}")
+c_m_0_flap = cm_0 + np.array(d_cm)
+c_m_wing1 = (c_m_0_flap*((aspect_Ratio*np.cos(np.radians(pfeilung25)**2))/(aspect_Ratio+(2*np.cos(np.radians(pfeilung25)))))+(d_cm0_et)*et)
+
+print (f"q and xcp/c: {qu} and {xcp_c_}")
+print(f" cmw :{c_m_wing1}")
+print(f"d cl flap: {d_cl_flap}")
+print(f"d cm: {d_cm}")
+print(f"cm0 flap: {c_m_0_flap}")
+
+# #cl_incidines = [i for i, value in enumerate(cl) if value = 0.001]
+# negative_istab = [i for i, value in enumerate(istab_polar) if value < 0]
+# cl_neg_i = [cl[i] for i in negative_istab]
+# alpha_neg_i = [alpha[i] for i in negative_istab]
+# #cm_ac_neg_i = [cm_ac[i] for i in negative_istab]
+# cm_alpha_neg_i= [cm_alpha[i] for i in negative_istab]
+# istab_polar_neg = [istab_polar[i] for i in negative_istab]
+# xac_global_neg_i = np.linspace(min(xac_global),max(xac_global),len(cl_neg_i))
+# cm_0_neg_i = [cm_0[i] for i in negative_istab]
+# xac_empennage_negative_neg_i = np.linspace(min(xac_empennage_negative),max(xac_empennage_negative),len(cl_neg_i))
+# istab_polar_maxdef = min(istab_polar)
+# min_index = np.argmin(istab_polar)
+
+"""
+Start of the Calculation the controllability
+"""
+xac_global_abs = AC_global - np.array(CG_appr)
+xac_c_plt = (np.array(xac_global_abs) / L_mu)
+xac_c_cry_plt = (np.array(xac_global_abs) / L_mu)
+
+print(f"xac global /MAC ={xac_c_cry_plt}")
+
+# Auslegung nach Steuerbarkeit (Controllability)
+a_cry = (cl_max_to / (min(cl_H_empennage2) * nu * (rh / L_mu)))
+print(f"a cry: {a_cry}")
+b_cry = ((min(c_m_wing1) + c_m_T) / (min(cl_H_empennage2) * nu * (rh / L_mu)))
+print(f"b cry: {b_cry}")
+
+fh_f_cry = a_cry * (np.array(xac_c_cry_plt)) + b_cry
+print(f"fh/f for controllability: {fh_f_cry}")
+
+# Auslegung nach Stabilität (Stability)
+a_ss = (cl_W_alpha) / (nu * cl_H_empennage_alpha * (1 - de_da) * (rh / L_mu))
+fh_f_ss = a_ss * np.abs(np.array(xac_c_cry_plt))
+print(f"fh/f for static stability: {fh_f_ss}")
+
+fh_f_vh = Fh / F_Wing
+
+# Save to dictionary
+results = {
+ "fh_f_cry": fh_f_cry.tolist(),
+ "fh_f_ss": fh_f_ss.tolist(),
+ "fh_f_vh": fh_f_vh,
+ "xac_c_": xac_c_plt.tolist()
+}
+
+# Write dictionary to a JSON file
+file_path = "results.json"
+with open(file_path, "w") as f:
+ json.dump(results, f, indent=4)
+
+print(f"Results saved to {file_path}")
+
+# Interpolation for finding intersections
+interp_cry = interp1d(fh_f_cry, xac_c_cry_plt, kind='linear', bounds_error=False, fill_value="extrapolate")
+interp_ss = interp1d(fh_f_ss, xac_c_plt, kind='linear', bounds_error=False, fill_value="extrapolate")
+
+# Calculate intersection points
+x_intersect_cry = interp_cry(fh_f_vh) # XAC value for intersection with controllability line
+x_intersect_ss = interp_ss(fh_f_vh) # XAC value for intersection with static stability line
+
+# Results
+print(f"X_AC,global where blue line intersects green line (Controllability): {x_intersect_cry}")
+print(f"X_AC,global where blue line intersects red line (Static Stability): {x_intersect_ss}")
+
+# Margins
+forward_margin = 0.1 * (x_intersect_cry - xac_c_cry_plt[0])
+afterward_margin = 0.1 * (xac_c_cry_plt[-1] - x_intersect_ss)
+
+x_forward = x_intersect_cry - forward_margin
+x_afterward = x_intersect_ss + afterward_margin
+
+# Calculate corresponding y values for the margins
+y_forward = a_cry * x_forward + b_cry
+y_afterward = a_ss * np.abs(x_afterward)
+
+# Save minimal XAC global values
+xac_minimal_global = {
+ "x_forward": float(x_forward),
+ "x_afterward": float(x_afterward),
+ "y_forward": float(y_forward),
+ "y_afterward": float(y_afterward)
+}
+
+minimal_file_path = "xac_minimal_global.json"
+with open(minimal_file_path, "w") as f:
+ json.dump(xac_minimal_global, f, indent=4)
+
+print(f"Minimal XAC global values saved to {minimal_file_path}")
+# Plotting
+plt.figure(figsize=(10, 6))
+plt.plot(xac_c_cry_plt, fh_f_cry, label='Controllability ($Fh/F_{cry}$)', color='green')
+plt.plot(xac_c_plt, fh_f_ss, label='Static Stability ($Fh/F_{ss}$)', color='red', linestyle='--')
+plt.axhline(fh_f_vh, color='blue', linestyle='-.', label='fh/f volume coeff')
+
+# Mark intersections
+plt.scatter(x_intersect_cry, fh_f_vh, color='green', label='Intersection with Controllability')
+plt.scatter(x_intersect_ss, fh_f_vh, color='red', label='Intersection with Static Stability')
+
+# Mark margins
+plt.scatter(x_forward, y_forward, color='purple', label='Forward Margin')
+plt.scatter(x_afterward, y_afterward, color='orange', label='Afterward Margin')
+
+# Plot minimal Fh/F line
+x_minimal = [x_forward, x_afterward]
+y_minimal = [y_forward, y_afterward]
+plt.plot(x_minimal, y_minimal, 'k--', label='Minimal Fh/F')
+
+plt.xlabel('$X_{AC,global}$ (Normalized)', fontsize=14)
+plt.ylabel('$Fh/F$', fontsize=14)
+plt.title('$Fh/F$ vs $X_{AC,global}$', fontsize=16)
+plt.legend(fontsize=12)
+plt.grid()
+plt.show()
+
+# # Filter the XAC values that are within the range [x_forward, x_afterward]
+# filtered_xac = xac_c_plt[(xac_c_plt >= x_forward) & (xac_c_plt <= x_afterward)]
+# filtered_xac_global = np.array(filtered_xac) * L_mu
+
+# # Check if filtered_xac_global is empty or contains values
+# if filtered_xac_global.size == 0: # Check if the array is empty
+# print("No value: the filtered XAC or FH/F is not appropriate.")
+# else:
+# # Print the filtered XAC values
+# print(f"Filtered XAC values between intersections: {filtered_xac_global}")
+
+
+
+
+# # Assuming the required variables and computations are already defined above
+
+# filtered_data = {
+# "cm_alpha": [cm_alpha[i] for i in negative_incidines],
+# "cm_ac": [cm_ac[i] for i in negative_incidines],
+# "cg_appr": [cg_appr[i] for i in negative_incidines],
+# "xac_global": [xac_global[i] for i in negative_incidines],
+# "xac_wing_abs": [xac_wing_abs[i] for i in negative_incidines],
+# "xac_empennage_negative": [xac_empennage_negative[i] for i in negative_incidines],
+# "alpha": [alpha[i] for i in negative_incidines],
+# "cl": [cl[i] for i in negative_incidines],
+# "istab_polar": [istab_polar[i] for i in negative_incidines],
+# "cm": [cm[i] for i in negative_incidines],
+# "cl_W": [cl_W[i] for i in negative_incidines],
+# "cl_H_empennage2": [cl_H_empennage2[i] for i in negative_incidines],
+# "c_m_h_empennage": [c_m_h_empennage[i] for i in negative_incidines],
+# "c_m_wing": [c_m_wing[i] for i in negative_incidines],
+# "margin": [s_m_s[i] for i in negative_incidines],
+# }
+
+# # Save the dictionary to a JSON file
+# import json
+
+# output_file = "filtered_data.json"
+# with open(output_file, "w") as file:
+# json.dump(filtered_data, file, indent=4)
+
+# print(f"Filtered data saved to {output_file}")
\ No newline at end of file
diff --git a/EMPBA01/src/tube_and_wing/conventional/methodconventionalclean.py b/EMPBA01/src/tube_and_wing/conventional/methodconventionalclean.py
new file mode 100644
index 0000000000000000000000000000000000000000..fbce103db814b7bd2774e031295e00ba371db623
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/conventional/methodconventionalclean.py
@@ -0,0 +1,961 @@
+import sys
+import pandas as pd
+import math
+import csv
+import numpy as np
+import copy
+import matplotlib.pyplot as plt
+import json
+from scipy.interpolate import interp1d
+from scipy.optimize import fsolve
+import pyaircraftgeometry2 as geom2
+import os
+import pickle
+# import pyaixml as aixml
+
+import xml.etree.ElementTree as ET
+
+#Inputliste for volume coeff.
+#Airbus A321
+
+"""Volume coeff calculation"""
+
+"""xml read function"""
+# Load the XML file
+aircraft_xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\CSMR_2020.xml"
+
+try:
+ tree_aircraft = ET.parse(aircraft_xml_file)
+ root_aircraft = tree_aircraft.getroot()
+ print(f"Root tag: {root_aircraft.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+def extract_x_value(mass_element):
+ try:
+ x_element = mass_element.find(".//x/value")
+ if x_element is not None:
+ return float(x_element.text) # Convert the value to a float
+ else:
+ print(f"No x value found in {mass_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting x value: {e}")
+ return None
+
+
+# Extract x values for both masses
+most_forward_mass = root_aircraft.find(".//most_forward_mass")
+most_afterward_mass = root_aircraft.find(".//most_afterward_mass")
+
+if most_forward_mass is not None:
+ forward_x = extract_x_value(most_forward_mass)
+ print(f"Most Forward Mass x-value: {forward_x}")
+else:
+ print("most_forward_mass element not found.")
+
+if most_afterward_mass is not None:
+ afterward_x = extract_x_value(most_afterward_mass)
+ print(f"Most Afterward Mass x-value: {afterward_x}")
+else:
+ print("most_afterward_mass element not found.")
+
+#extract x values pos for fuselage, wing, and empennage
+wing_pos = root_aircraft.find("component_design/wing/position")
+fuselage_pos = root_aircraft.find("component_design/fuselage/position")
+empennage_pos = root_aircraft.find("component_design/empennage/position")
+
+if wing_pos is not None:
+ wing_x = extract_x_value(wing_pos)
+ print(f"wing pos. x-value: {wing_x}")
+else:
+ print("wing pos x-value element not found.")
+
+if fuselage_pos is not None:
+ fuselage_x = extract_x_value(fuselage_pos)
+ print(f"fuselage pos x-value: {fuselage_x}")
+else:
+ print("fuselage pos x-value element not found.")
+
+if empennage_pos is not None:
+ empennage_x = extract_x_value(empennage_pos)
+ print(f"empennage pos x-value: {empennage_x}")
+else:
+ print("empennage pos x-value element not found.")
+
+#extract values for variables.
+def extract_ref_value(ref_element):
+ try:
+ ref_element = ref_element.find(".//value")
+ if ref_element is not None:
+ return float(ref_element.text) # Convert the value to a float
+ else:
+ print(f"No ref value found in {ref_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting ref value: {e}")
+ return None
+
+ref_value_wing_span = root_aircraft.find("analysis/aerodynamics/reference_values/b")
+ref_value_wing_mac = root_aircraft.find("analysis/aerodynamics/reference_values/MAC")
+ref_value_wing_area = root_aircraft.find("analysis/aerodynamics/reference_values/S_ref")
+ref_value_neutral_point = root_aircraft.find("analysis/aerodynamics/reference_values/neutral_point")
+
+if ref_value_wing_span is not None:
+ B_wing = extract_ref_value(ref_value_wing_span)
+ print(f"wing span ref-value: {B_wing}")
+else:
+ print("wing span element not found.")
+
+if ref_value_wing_mac is not None:
+ L_mu = extract_ref_value(ref_value_wing_mac)
+ print(f"wing MAC ref-value: {L_mu}")
+else:
+ print("wing MAC element not found.")
+
+if ref_value_wing_area is not None:
+ F_Wing = extract_ref_value(ref_value_wing_area)
+ print(f"wing area ref-value: {F_Wing}")
+else:
+ print("wing area element not found.")
+
+if ref_value_neutral_point is not None:
+ AC_global = extract_x_value(ref_value_neutral_point)
+ print(f"global neutral point x-value: {AC_global}")
+else:
+ print("global neutral point not found.")
+
+# def read_wing(paths):
+
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# airfoil_data_dir = f'{paths["project_directory"]}/geometry_data/airfoil_data'
+
+# return geom2.factory.WingFactory(acxml, airfoil_data_dir).create("wing/specific/geometry/aerodynamic_surface@0")
+
+
+# def read_fuselage(paths):
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# geometry_data_dir = f'{paths["project_directory"]}/geometry_data/'
+# return geom2.factory.FuselageFactory(acxml, geometry_data_dir).create("fuselage/specific/geometry/fuselage@0")
+# Read fuselage and wing
+# wing = read_wing(paths_and_names)
+# fuselage = read_fuselage(paths_and_names)
+# fuselage_length = geom2.measure.length(fuselage)
+# wing_span = geom2.measure.span(wing)
+
+#wing and empennage from report
+
+B_wing = 35.45 #half Wing span
+L_mu = 4.16 #MAC Wing
+F_Wing = 122.02 #reference Area Wing
+streckungH = 5.46 #Aspect ratio HLW
+lambdaH = 0.28 #tapper ratio HLW
+pfeilungH = 27.58 #sweep quarter cord
+Fh = 23.41 #reference Area HLW
+Bh = 11.31 #half HLW span
+L_mu_h = 2.29 #MAC HLW
+pfe_LE = 32
+pfe_TE = 12.12
+lange_rumpf = 37
+rh = (empennage_x+(0.25*L_mu_h))-(wing_x+(0.25*L_mu))
+Fh_f = Fh/F_Wing
+Vh = (Fh*rh)/(F_Wing*L_mu) #volume coeff. from HLW
+Li_h = (Fh)/((Bh/2)*(lambdaH+1))
+La_h = lambdaH*Li_h
+print(f"FH/f alt:{Fh_f}")
+print(f"Vh :{Vh}")
+print(f"Li h:{Li_h}")
+print(f"La h:{La_h}")
+
+#wing geometry
+Tapper_Lambda = 0.17
+aspect_Ratio= 10.30
+pfeilung25 = 27
+
+
+# Output results
+print(f"rh: {rh}")
+print(f"Fh: {Fh}")
+print(f"Bh: {Bh}")
+
+"""Aerodynamic Calculation"""
+# Path to the XML file
+xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\SMR-2020_design_trimmed_polar.xml"
+
+try:
+ tree = ET.parse(xml_file)
+ root = tree.getroot()
+ print(f"Root tag: {root.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+# Dictionary to store configurations and their polar data
+configurations_data = {}
+
+# Iterate over all configurations
+configurations = root.findall("configurations/configuration")
+if not configurations:
+ print("No configurations found.")
+else:
+ for configuration in configurations:
+ config_id = configuration.get("ID", "No ID")
+ name = configuration.find("name").text if configuration.find("name") is not None else "No name"
+ comment = configuration.find("comment").text if configuration.find("comment") is not None else "No comment"
+
+ # Initialize storage for polars under this configuration
+ polars_data = []
+
+ # Extract polars for this configuration
+ polars = configuration.find("polars")
+ if polars is not None:
+ for polar in polars.findall("polar"):
+ polar_data = {
+ "ID": polar.get("ID", "No ID"),
+ "ExtrapolationMargin": polar.get("ExtrapolationMargin", "No ExtrapolationMargin"),
+ "AllowGridChange": polar.get("AllowGridChange", "No AllowGridChange"),
+ "ReynoldsNumber": polar.find("reynoldsnumber").text if polar.find("reynoldsnumber") is not None else "No reynoldsnumber",
+ "Altitude": polar.find("altitude").text if polar.find("altitude") is not None else "No altitude",
+ "MachNumber": None, # Default to None for invalid or missing values
+ "Alpha": [],
+ "Cl": [],
+ "Cm":[],
+ "iStab_polar": []
+ }
+
+ # Parse Mach Number and convert to float if valid
+ mach_number_text = polar.find("machnumber").text if polar.find("machnumber") is not None else "No machnumber"
+ try:
+ polar_data["MachNumber"] = float(mach_number_text) if mach_number_text != "No machnumber" else None
+ except ValueError:
+ print(f"Error converting Mach Number to float: {mach_number_text}")
+
+ # Parse Alpha values
+ alpha_text = polar.find("Alpha").text if polar.find("Alpha") is not None else "No Alpha"
+ if alpha_text != "No Alpha":
+ try:
+ polar_data["Alpha"] = [float(value) for value in alpha_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Alpha values to floats: {alpha_text}")
+
+ # Parse Cl values
+ cl_text = polar.find("Cl").text if polar.find("Cl") is not None else "No Cl"
+ if cl_text != "No Cl":
+ try:
+ polar_data["Cl"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cl values to floats: {cl_text}")
+ cm_text = polar.find("Cm").text if polar.find("Cm") is not None else "No Cm"
+ if cm_text != "No Cm":
+ try:
+ polar_data["Cm"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cm values to floats: {cm_text}")
+
+ # Parse iStab_polar values
+ istab_polar_text = polar.find("iStab_polar").text if polar.find("iStab_polar") is not None else "No iStab_polar"
+ if istab_polar_text != "No iStab_polar":
+ try:
+ polar_data["iStab_polar"] = [float(value) for value in istab_polar_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting iStab_polar values to floats: {istab_polar_text}")
+
+ # Append the parsed polar data to the list for this configuration
+ polars_data.append(polar_data)
+
+ # Store the data for this configuration
+ configurations_data[config_id] = {
+ "Name": name,
+ "Comment": comment,
+ "Polars": polars_data
+ }
+
+# # Output the structured data
+#for config_id, config_data in configurations_data.items():
+# print(f"\nConfiguration ID: {config_id}")
+# print(f" Name: {config_data['Name']}")
+# print(f" Comment: {config_data['Comment']}")
+# print(" Polars:")
+# for polar in config_data["Polars"]:
+# print(f" Polar ID: {polar['ID']}")
+# print(f" Extrapolation Margin: {polar['ExtrapolationMargin']}")
+# print(f" Allow Grid Change: {polar['AllowGridChange']}")
+# print(f" Reynolds Number: {polar['ReynoldsNumber']}")
+# print(f" Altitude: {polar['Altitude']}")
+# print(f" Mach Number: {polar['MachNumber']}")
+# print(f" Alpha: {polar['Alpha']}")
+# print(f" Cl: {polar['Cl']}")
+# print(f" Cm: {polar['Cm']}")
+# print(f" iStab_polar: {polar['iStab_polar']}")
+
+#calculation from the whole airplane to get the xAC wing and empennage
+
+# User selects a specific configuration to calculate
+config_id_to_calculate = "clean"#input("Enter the configuration ID to calculate (e.g., clean, takeoff, landing): ").strip()
+
+# Ensure the input is valid and matches a configuration
+if config_id_to_calculate not in configurations_data:
+ print(f"Configuration '{config_id_to_calculate}' not found. Please check your input.")
+else:
+ print(f"Calculating for configuration: {config_id_to_calculate}")
+
+ # Extract the data for the selected configuration
+ config_data = configurations_data[config_id_to_calculate]
+ polars = config_data.get("Polars", [])
+ if not polars:
+ print(f"No polars found for configuration {config_id_to_calculate}")
+ else:
+ polar_results = []
+
+ for polar in polars:
+ alpha_values = polar.get("Alpha", [])
+ cl_values = polar.get("Cl", [])
+ cm_values = polar.get("Cm", [])
+
+ if not alpha_values or not cl_values:
+ print(f"No Alpha or Cl values found in polar {polar.get('ID', 'Unknown')} for configuration {config_id_to_calculate}")
+ continue
+
+ number_alpha = len(alpha_values)
+ AC_wing = 0.25 * L_mu #NP for wing
+ AC_wing_pos = wing_x + AC_wing #AC wing position from the reff. point
+ CG_appr = np.linspace(forward_x, afterward_x, 20) #Array for most Forward CG until most Afterward CG
+
+ xac_global = CG_appr-AC_global #gap between the NP of whole Airplane with CG array
+
+ #to Calculate the cmAC and to filter it so we have only a positive cm AC for a static stability if the cm = 0
+ #calculate the cmAC for every Cl with the Xac Array to filter wich CG is still in the static Stability area
+ cm_AC_filtered = []
+ filtered_xac_globals = []
+ #seperate for clean and other configuration
+ for cl_index, cl in enumerate(cl_values):
+ if config_id_to_calculate == "clean":
+ cm_ac_for_cl = cl * (xac_global / L_mu) # Calculation for "clean"
+ else:
+ cm_ac_for_cl = cm_values[cl_index] - (cl * (0.5 * xac_global / L_mu)) # Calculation for others
+
+ positive_indices = [i for i, cm_ac in enumerate(cm_ac_for_cl) if cm_ac > 0]
+ cm_AC_filtered.extend(cm_ac_for_cl[positive_indices])
+ filtered_xac_globals.extend(xac_global[positive_indices])
+
+ filtered_xac_globals = sorted(set(filtered_xac_globals))
+ CG_appr = AC_global + np.array(filtered_xac_globals) #new CG appr for the filtered xac
+
+ xAC_wing_abs = CG_appr - AC_wing_pos #Xac for Wing
+
+ xAC_empennage_negative = xAC_wing_abs-rh #Xac for HLW
+
+ polar_results.append({
+ "Polar ID": polar.get("ID", "Unknown"),
+ "Number of Alpha": number_alpha,
+ "CG_appr_new": CG_appr.tolist(),
+ "xac_global": filtered_xac_globals,
+ "cm_AC": cm_AC_filtered,
+ "xAC_wing_abs": xAC_wing_abs.tolist(),
+ "xAC_empennage_negative": xAC_empennage_negative.tolist()
+ })
+
+ # Save the results for the selected configuration
+ results = {
+ config_id_to_calculate: {
+ "Name": config_data["Name"],
+ "Comment": config_data["Comment"],
+ "Polar Results": polar_results
+ }
+ }
+
+ # Save to a file named after the selected configuration
+ output_file = f"{config_id_to_calculate}_polar_results.json"
+ with open(output_file, "w") as f:
+ json.dump(results, f, indent=4)
+
+ print(f"\nResults for configuration '{config_id_to_calculate}' saved to {output_file}")
+
+
+
+#calculation to get the specified aerodynamics coeff for wing and empennage first only for clean
+#Profil NACA n0012 (symmetric Profil)
+
+# Initialize a variable to hold the results for the configuration
+# Extract configuration from the results
+clean_configuration = results.get("clean", {})
+
+# Check if the clean configuration exists
+if clean_configuration:
+ # Search for polar with ID 11 in the clean configuration
+ polar_11 = None
+ for polar in clean_configuration.get("Polar Results", []):
+ if polar.get("Polar ID") == "11": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the polar values
+ cm_ac = polar_11.get("cm_AC", [])
+ cg_appr = polar_11.get("CG_appr", [])
+ xac_global = polar_11.get("xac_global", [])
+ xac_wing_abs = polar_11.get("xAC_wing_abs", [])
+ xac_empennage_negative = polar_11.get("xAC_empennage_negative", [])
+
+ # #Print out the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Clean Configuration):")
+ # print(f"Positive cm_AC: {cm_ac}")
+ # print(f"Filtered CG_appr: {cg_appr}")
+ # print(f"Filtered xac_global: {xac_global}")
+ # print(f"Filtered xAC_wing_abs: {xac_wing_abs}")
+ # print(f"Filtered xAC_empennage_negative: {xac_empennage_negative}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the results.")
+
+# Access the configurations data to find the clean configuration
+clean_configuration_data = configurations_data.get("clean", {})
+
+# Check if the clean configuration exists
+if clean_configuration_data:
+ # Get the polar data for the clean configuration
+ polars = clean_configuration_data.get("Polars", [])
+
+ # Search for the polar with ID 11
+ polar_11 = None
+ for polar in polars:
+ if polar.get("ID") == "11": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the variables
+ mach_number = polar_11.get("MachNumber")
+ alpha = polar_11.get("Alpha", [])
+ cl = polar_11.get("Cl", [])
+ cm = polar_11.get("Cm", [])
+ istab_polar = polar_11.get("iStab_polar", [])
+
+ # Print the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Configurations Data):")
+ # print(f"Filtered Alpha: {filtered_alpha}")
+ # print(f"Filtered Cl: {filtered_cl}")
+ # print(f"Filtered iStab_polar: {filtered_istab_polar}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the configurations data.")
+
+import json
+output_file = "configuration_polar_results_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+import json
+output_file = "configuration_polar_data_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration_data, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+
+"""
+Start of the Calculation for the aerodynamics
+"""
+
+#for symmetry Profil
+
+alpha_0_w = 0
+alpha_0_h = 0
+cl_0_w = 0
+cl_0_h = 0
+nu = 0.9 #dynamic Pressure efficiency
+
+def find_max_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ max_alpha = max(alpha_array)
+ max_alpha_index = alpha_array.index(max_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_max = cl_array[max_alpha_index]
+
+ return {
+ "Max Alpha": max_alpha,
+ "Max Alpha Index": max_alpha_index,
+ "Corresponding Cl max": corresponding_cl_max
+ }
+
+
+def find_min_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ min_alpha = min(alpha_array)
+ min_alpha_index = alpha_array.index(min_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_min = cl_array[min_alpha_index]
+
+ return {
+ "Min Alpha": min_alpha,
+ "Min Alpha Index": min_alpha_index,
+ "Corresponding Cl min": corresponding_cl_min
+ }
+
+alpha_diff = max(alpha)-min(alpha) #Max Alpha as X2 and Min Alpha as X1
+#print (f"alpha gradient = {alpha_diff}")
+length = len(alpha)
+cl_max_alpha = find_max_alpha_and_corresponding_cl(alpha,cl) #as Y2
+cl_min_alpha = find_min_alpha_and_corresponding_cl(alpha,cl) #as Y1
+cl_diff = cl_max_alpha["Corresponding Cl max"] - cl_min_alpha["Corresponding Cl min"]
+#print (f"cl diff : {cl_diff}")
+
+cl_alpha = cl_diff/np.radians(alpha_diff) #the calculated gradient
+print(f"cl alpha: {cl_alpha}")
+
+cm_alpha = cl_alpha*(np.array(xac_global)/L_mu)
+
+print (f"cm alpha:{cm_alpha}")
+
+#s_m_s = -1*(np.array(xac_global)/L_mu) *100 #in percentage
+s_m_s = -1*(cm_alpha/cl_alpha) *100 #in percentage
+
+iw = 0 #simplified wing angle the same as airplane
+FF = aspect_Ratio/((cl_alpha/(2*math.pi))*np.cos(np.radians(pfeilung25))) #Formfaktor from FE1
+k0 = (0.2692*FF)-(0.03873*pow(FF,2))+(0.002951*pow(FF,3))-(0.0001106*pow(FF,4))+((1.559/1000000)*pow(FF,5)) #Polynomapproximation Konstanten from FE1
+cl_W_alpha = cl_alpha*k0*np.cos(np.radians(pfeilung25))
+print(f"cl alpha for wing : {cl_W_alpha}")
+
+cl_W = cl_0_w + (cl_W_alpha*(np.radians(np.array(alpha)+iw)))
+#print(f"cl wing: {cl_W}")
+
+#Factor for Aspect Ratio
+k_AR = (1/aspect_Ratio)-(1/(1+(aspect_Ratio**1.7)))
+
+#factor for the Tapper ratio
+k_TR = (1-(3*Tapper_Lambda))/7
+
+#HLW position factor
+z_HLW = 0.92429206 #position of HLW in z axes
+k_H = (1-np.abs(z_HLW/B_wing))/(np.sqrt((2*rh)/B_wing))
+
+de_da = 4.44*(k_AR*k_TR*k_H*np.sqrt(np.cos(np.radians(pfeilung25))))**1.19
+#(2*cl_W_alpha)/(math.pi*aspect_Ratio)
+
+print(f"de da: {de_da}")
+
+E0 = 0 #for clow =0
+
+E = np.degrees((6*np.array(cl))/(aspect_Ratio*math.pi**2))
+#(E0+(de_da*(np.radians(np.array(alpha))+iw)))
+#print (f"angle of downwash E : {E}")
+
+pfeilung50H = np.degrees(np.tan(np.radians(pfeilungH))-((4/streckungH)*(0.5-0.25)*((1-lambdaH)/(1+lambdaH))))
+print(f"pfeilung 50 HLW:{pfeilung50H}")
+cl_H_empennage_alpha = (math.pi*streckungH)/(1+np.sqrt(1+(0.25*streckungH*streckungH)*(np.tan(np.radians(pfeilung50H)**2)+1-((mach_number*mach_number)))))
+print (f"cl H empennage alpha: {cl_H_empennage_alpha}")
+
+#calculation for flap/elevator
+
+#approx. for tau
+tau_0 = 0.4
+tau_1 = 0.8
+se_sh_0 = 0.2
+se_sh_1 = 0.7
+
+
+se_sh = 0.36 #the Elevator and Empennage ratio for general Aviation with one Jet from Raymer
+teta_e_0 = -30 #maximal negative deflection for the HLW (positive is clockwise) so the flap is up
+teta_e_1 = 30 #maximal positive deflection for the HLW so the flap is down
+teta_e = np.linspace(teta_e_0, teta_e_1, length) #elevator angle as input array
+#print(f"teta e :{teta_e}")
+
+tau = ((tau_0*(se_sh_1-se_sh))+(tau_1*(se_sh-se_sh_0)))/(se_sh_1-se_sh_0)
+#print(f"tau is: {tau}")
+
+cl_teta_elevator = tau * cl_H_empennage_alpha
+#print(f"elevator cl teta: {cl_teta_elevator}")
+
+cm_teta_elevator = -1*nu*Vh*cl_teta_elevator
+cm_i_h = -1*nu*Vh*cl_H_empennage_alpha
+
+cl_H_empennage1 = ((cl-cl_W)*F_Wing)/(Fh*nu) #if the lift is only from wing and empennage
+#print(f"cl empennage :{cl_H_empennage1} ")
+
+cl_H_empennage2 = cl_0_h+ cl_H_empennage_alpha*(np.radians(np.array(alpha)-np.array(E))) + (cl_teta_elevator*(np.radians(np.array(teta_e))))
+#print(f"cl empennage :{cl_H_empennage2} ")
+
+
+
+#pressure calculation
+
+p0 = 101.325
+rho_0 = 1.225 #sealevel density
+h = 10668
+t_0 = 288.15
+r = 287.05287
+T_grad_Tropo = -0.0065
+t_h = t_0 - T_grad_Tropo*(h)
+p_h = p0*(1+((T_grad_Tropo*h)/t_0))**((-9.8/(r*T_grad_Tropo)))
+print(f"druck in altitud:{p_h}")
+v_h = mach_number*343
+cl_max_to = 1.974 #maximal take off lift
+cl_max_clean = 0.509 #maximal lift from clean con
+
+xac_c_ = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+xac_c_cry = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+cr_ca = 0.75 #flap fowler to wing chord ratio from HTML wing report f
+rho_clean = 0.28#p_h/(r*t_h)
+print(f"rho clean in h: {rho_clean}")
+ze = -2.283411255 #the Position of Engine in Z axes from reff. Koordination
+T = 0.25 * 101461.9992*2 #the Thrust for 2 Engine also after the calculation of the resistance
+Mto = 72624.87634021531 #maximal take off mass
+v_stall = np.sqrt((2*9.87*Mto)/(rho_0*cl_max_to*F_Wing))
+print(f"v stall: {v_stall}")
+v_lof = 1.15 * v_stall #the speed for lift off
+qu_TO = rho_0 * 0.5 * v_lof**2 #staudruck
+qu_clean = rho_clean * 0.5 * v_h**2
+print(f"qu clean:{qu_clean}")
+d_cm0_et = 0
+et = 0#flügelschrankung
+cl_000 = max(cl)
+M_clean = 53986
+cl_trim1 = (M_clean*9.8667)/(qu_clean*F_Wing)
+print(f"cl 000 and cl trim:{cl_000} and {cl_trim1}")
+
+c_m_T = ((T*ze)/(qu_clean*(F_Wing)*L_mu))
+print(f"cmt:{c_m_T}")
+
+c_m_h_empennage = nu * Vh * np.array(cl_H_empennage2)
+#print(f" cm for empennage: {c_m_h_empennage}")
+#c_m_wing = cm-c_m_h_empennage-c_m_T
+
+# Find the index where Cl is exactly 0
+index_for_cl_zero = [i for i, cl in enumerate(cl_values) if cl == 0]
+
+# Use this index to find the corresponding values
+
+cm_0 = [cm[i] for i in index_for_cl_zero] #Nullmoment from the whole Airplane
+
+#-1*((cm_alpha*np.radians(alpha))+(cm_teta_elevator*np.radians(teta_e)))
+print(f" cm0 :{cm_0}")
+
+
+xcp_c_ = (-0.25*cr_ca)+0.5
+d_cl_flap = ((2.5*cl_000)-cl_max_clean)/0.95
+d_cm = d_cl_flap * (xac_c_cry-(xcp_c_*cr_ca))
+print(f"dcm :{d_cm}")
+c_m_0_flap = cm_0 + np.array(d_cm)
+c_m_wing1 = (c_m_0_flap*((aspect_Ratio*np.cos(np.radians(pfeilung25)**2))/(aspect_Ratio+(2*np.cos(np.radians(pfeilung25)))))+(d_cm0_et)*et)
+
+print (f"q and xcp/c: {qu_clean} and {xcp_c_}")
+print(f" cmw :{c_m_wing1}")
+print(f"d cl flap: {d_cl_flap}")
+print(f"d cm: {d_cm}")
+print(f"cm0 flap: {c_m_0_flap}")
+
+
+"""
+Start of the Calculation the controllability
+"""
+# xac_global_abs = AC_global - np.array(CG_appr)
+xac_c_plt = CG_appr#(np.array(xac_global) / L_mu)
+xac_c_cry_plt = CG_appr#(np.array(xac_global) / L_mu)
+
+#fh_f_vh = Fh / F_Wing
+
+# Find the index where Cl is exactly 0
+index_for_cl_zero = [i for i, cl in enumerate(cl_values) if cl == 0]
+
+# Use this index to find the corresponding alpha values
+alpha_cl0 = [alpha[i] for i in index_for_cl_zero]
+
+print(f"Cl trim :{cl_000}")
+
+
+def calculate_cmAC_max(cl_000, xac_global, L_mu):
+ return -1 * cl_000 * (min(xac_global) / L_mu)
+
+def calculate_cmAC_max_e(c_m_0_flap, cm_alpha, alpha_cl0, cm_teta_elevator, teta_e):
+ return min(c_m_0_flap) + (min(cm_alpha) * np.radians(alpha_cl0)) + cm_teta_elevator * np.radians(teta_e)
+
+# Target value
+cmAC_max = calculate_cmAC_max(cl_000, xac_global, L_mu)
+
+teta_e = None
+
+# Bisection method for faster convergence
+if teta_e is None:
+ lower_bound = -90 # Lower bound for teta_e (degrees)
+ upper_bound = 90 # Upper bound for teta_e (degrees)
+ tolerance = 1e-6 # Tolerance for matching
+
+ def f(teta_e):
+ return calculate_cmAC_max_e(c_m_0_flap, cm_alpha, alpha_cl0, cm_teta_elevator, teta_e) - cmAC_max
+
+ # Ensure root exists in the interval
+ if f(lower_bound) * f(upper_bound) > 0:
+ raise ValueError("Root is not bracketed within the given bounds. Adjust the bounds.")
+
+ # Bisection loop
+ while (upper_bound - lower_bound) / 2 > tolerance:
+ midpoint = (lower_bound + upper_bound) / 2
+ if f(midpoint) == 0:
+ teta_e = midpoint
+ break
+ elif f(lower_bound) * f(midpoint) < 0:
+ upper_bound = midpoint
+ else:
+ lower_bound = midpoint
+
+ teta_e = (lower_bound + upper_bound) / 2 # Final approximation
+
+# # Save teta_e with constants
+# with open(save_file, 'w') as file:
+# json.dump({
+# 'cl_000': float(cl_000),
+# 'xac_global': list(xac_global),
+# 'L_mu': float(L_mu),
+# 'c_m_0_flap': list(c_m_0_flap),
+# 'cm_alpha': list(cm_alpha),
+# 'alpha_cl0': float(alpha_cl0),
+# 'cm_teta_elevator': float(cm_teta_elevator),
+# 'teta_e': float(teta_e)
+# }, file)
+# else:
+cmAC_max_e = calculate_cmAC_max_e(c_m_0_flap, cm_alpha, alpha_cl0, cm_teta_elevator, teta_e)
+
+# Display results
+print(f"cmAC for most aft CG: {cmAC_max}")
+print(f"cmAC for minimal elevator: {cmAC_max_e}")
+print(f"Optimal teta_e: {teta_e} degrees")
+
+# The value of teta_e can be used for further calculations.
+
+
+#CG envelope for controllability
+fh_f_cry = ((cl_000*(min(xac_global)/L_mu))+c_m_0_flap+(cm_alpha*np.radians(alpha_cl0))+c_m_T)/((nu*cl_H_empennage_alpha*tau*np.radians(teta_e))*((-1*(min(xac_empennage_negative)))/L_mu))
+print(f"fh/f for controlabillity:{fh_f_cry}")
+fh_f_ss = (cl_W_alpha*(np.array(xac_wing_abs)/L_mu))/(nu*cl_H_empennage_alpha*(1-de_da)*(-1*(np.array(xac_empennage_negative))/L_mu))
+fh_f_ss_m = 0.05*fh_f_ss + fh_f_ss
+# Save to dictionary
+results = {
+ "fh_f_cry": fh_f_cry.tolist(),
+ "fh_f_ss": fh_f_ss.tolist(),
+ #"fh_f_vh": fh_f_vh,
+ #"xac_c_": xac_c_plt.tolist()
+}
+
+# Write dictionary to a JSON file
+file_path = "results.json"
+with open(file_path, "w") as f:
+ json.dump(results, f, indent=4)
+
+print(f"Results saved to {file_path}")
+
+# Finding the intersection point
+def find_intersection(x):
+ return np.interp(x, xac_c_cry_plt, fh_f_cry) - np.interp(x, xac_c_plt, fh_f_ss)
+
+# Initial guess for the intersection
+x_guess = np.mean(xac_c_cry_plt)
+x_intersection = fsolve(find_intersection, x_guess)[0]
+
+# Corresponding fh/f at intersection
+fh_f_intersection = np.interp(x_intersection, xac_c_cry_plt, fh_f_cry)
+
+# Calculate 10% margins (forward and backward along respective lines)
+dx = 0.2 * (min(xac_c_cry_plt) - max(xac_c_cry_plt))
+
+# Forward margin along controllability
+x_forward = x_intersection + dx
+print(f"x fwd:{x_forward}")
+new_xac_global = x_forward - AC_global
+xac_c_cry_new = new_xac_global/L_mu
+d_cm_new = d_cl_flap * (xac_c_cry_new-(xcp_c_*cr_ca))
+c_m_0_flap_new = cm_0 + d_cm_new
+cm_alpha_new = cl_alpha*(new_xac_global/L_mu)
+
+fh_f_forward1 = ((cl_000*(min(xac_global)/L_mu))+c_m_0_flap_new+(cm_alpha_new*np.radians(alpha_cl0))+c_m_T)/((nu*cl_H_empennage_alpha*tau*np.radians(teta_e))*((-1*(min(xac_empennage_negative)))/L_mu))
+fh_f_forward = fh_f_forward1[0]
+print(f"fh/f forw: {fh_f_forward}")
+
+# # Backward margin along static stability
+# x_backward = x_intersection - dx
+# print(f"x aft:{x_backward}")
+# xAC_wing_new = np.abs(AC_wing_pos - x_backward) #Xac for Wing
+# print(f"xAC wing new:{xAC_wing_new}")
+# xAC_empennage_new = xAC_wing_new-rh #Xac for HLW
+
+# fh_f_backward = (cl_W_alpha*((xAC_wing_new)/L_mu))/(nu*cl_H_empennage_alpha*(1-de_da)*(-1*(xAC_empennage_new)/L_mu))
+fh_f_backward = fh_f_forward -0.05*fh_f_forward
+fh_f_backward_m = 0.05*fh_f_backward +fh_f_backward
+xacw_xach_neu = -1*(fh_f_backward*((nu*cl_H_empennage_alpha*(1-de_da))/cl_W_alpha))
+xach_neu = rh/(xacw_xach_neu-1)
+print(f"xach new: {xach_neu}")
+xacw_neu = rh+xach_neu
+print(f"xacw new: {xacw_neu}")
+x_backward = AC_wing_pos +xacw_neu
+print(f"xaft : {x_backward}")
+#fh_f_backward = 0.05*fh_f_backward1 + fh_f_backward1
+print(f"fh/f aft: {fh_f_backward}")
+# Define the minimal Fh/F above the intersection point
+
+minimal_fh_f = np.linspace(fh_f_forward,fh_f_backward,1)
+
+# Save most forward and afterward CG positions
+most_forward_cg = x_forward
+afterward_cg = x_backward
+
+
+# Plotting
+plt.figure(figsize=(10, 6))
+plt.plot(xac_c_cry_plt, fh_f_cry, label='Controllability ($Fh/F_{cry}$)', color='green')
+plt.plot(xac_c_plt, fh_f_ss, label='Static Stability ($Fh/F_{ss}$)', color='red')
+plt.plot(xac_c_plt, fh_f_ss_m, label='Static Stability with margin ($Fh/F_{ss}$)', color='red', linestyle='--')
+
+# Plot the minimal Fh/F line above the intersection
+plt.hlines(minimal_fh_f, x_backward, x_forward, label='Minimal $Fh/F$', color='blue', linestyle='-.')
+
+# Mark intersection point
+plt.scatter(x_intersection, fh_f_intersection, color='black', zorder=5)
+
+# Mark the new margins as points
+plt.scatter([x_forward, x_backward], [fh_f_forward, fh_f_backward_m], color='purple', zorder=5, label='Margins')
+
+plt.xlabel('$X_{CG,global}$', fontsize=14)
+plt.ylabel('$Fh/F$', fontsize=14)
+plt.title('$Fh/F$ vs $X_{AC,global}$', fontsize=16)
+plt.legend(fontsize=12)
+plt.grid()
+plt.show()
+
+fh_f_neu = (fh_f_backward+fh_f_forward)/2
+fh_neu = (fh_f_neu*F_Wing)
+print (f"neu fh:{fh_neu}")
+
+Bh_neu1 = np.sqrt(fh_neu*streckungH)
+Bh_neu = Bh_neu1/2
+Li_h_neu = (fh_neu)/(Bh_neu*(lambdaH+1))
+La_h_neu = lambdaH*Li_h_neu
+L_mu_h_neu = Li_h_neu*((2/3)*((1+lambdaH+lambdaH**2)/(1+lambdaH)))
+rh_neu = (empennage_x+(0.25*L_mu_h_neu))-(wing_x+(0.25*L_mu))
+vh_neu = ((fh_neu)*rh_neu)/(F_Wing*L_mu) #volume coeff. from HLW
+print(f"MAC HLW new:{L_mu_h_neu}")
+print(f"rh new:{rh_neu}")
+print(f"Vh neu:{vh_neu}")
+print(f"bh new:{Bh_neu}")
+print(f"Li hlw new:{Li_h_neu}")
+print(f"La hlw new:{La_h_neu}")
+
+y_hlw_le = np.tan(np.radians(pfe_LE))*Bh_neu
+y_hlw_te = np.tan(np.radians(pfe_TE))*Bh_neu
+print(f"yLi hlw new:{y_hlw_le}")
+print(f"yLa hlw new:{y_hlw_te}")
+
+
+# Save results in a dictionary
+results = {
+ "Bh_neu": Bh_neu,
+ "Li_h_neu": Li_h_neu,
+ "La_h_neu": La_h_neu,
+ "y_hlw_le": y_hlw_le,
+ "y_hlw_te": y_hlw_te
+}
+
+# Saving to a pickle file
+with open('results.pkl', 'wb') as file:
+ pickle.dump(results, file)
+
+
+#geometrie of the Elevator
+f_elevator= (se_sh*fh_neu)
+b_elevator = 0.9*Bh_neu#(np.sqrt(f_elevator*streckungH))/2
+Li_elevator = (f_elevator)/(b_elevator*(lambdaH+1))
+La_elevator = lambdaH*Li_elevator
+y_elevator_le = np.tan(np.radians(pfe_LE))*b_elevator
+
+y_TE_e = ((Li_h_neu*(Bh_neu-b_elevator))+((y_hlw_le+La_h_neu)*(b_elevator-0)))/(Bh_neu-0)
+print(f"Li elevator new:{Li_elevator}")
+print(f"La elevator new:{La_elevator}")
+print(f"F und B elevator:{f_elevator} and {b_elevator}")
+print(f"y2 elevator new:{y_elevator_le}")
+
+# Defining the coordinates
+# Root leading edge (0, 0), trailing edge (Li_h_neu, 0)
+# Tip leading edge (Bh_neu, offset), trailing edge (Bh_neu, offset + La_h_neu)
+
+# Coordinates of the trapezoid
+tailplane_coords = np.array([
+ [0, 0], # Root treading edge
+ [Bh_neu, y_hlw_le], # Root leading edge
+ [Bh_neu, (y_hlw_le+La_h_neu)], # Tip leading edge
+ [0, Li_h_neu], # Tip treading edge
+ [0, 0] # Closing the shape
+])
+
+elevator_coords = np.array([
+ [0, (Li_h_neu-Li_elevator)], # Root treading edge
+ [b_elevator, (y_TE_e-La_elevator)], # Root leading edge
+ [b_elevator, (y_TE_e)], # Tip leading edge
+ [0, Li_h_neu], # Tip treading edge
+ [0, (Li_h_neu-Li_elevator)] # Closing the shape
+])
+
+
+# Plotting the geometry
+plt.figure(figsize=(10, 5))
+plt.plot(tailplane_coords[:, 0], tailplane_coords[:, 1], color= 'blue',linestyle= '-')
+plt.plot(elevator_coords[:, 0], elevator_coords[:, 1],color= 'red',linestyle= '-')
+plt.fill(tailplane_coords[:, 0], tailplane_coords[:, 1], alpha=0.3)
+
+# Labels and grid
+plt.title("Tailplane Geometry")
+plt.xlabel("Spanwise Distance")
+plt.ylabel("Chord Length")
+plt.grid(True)
+plt.axis('equal')
+
+plt.show()
+new_cm_teta_elevator= -1*nu*vh_neu*cl_teta_elevator
+new_cmAC = min(c_m_0_flap) + (min(cm_alpha) * np.radians(alpha_cl0)) + new_cm_teta_elevator * np.radians(teta_e)
+print(f"new cmac :{new_cmAC}")
\ No newline at end of file
diff --git a/EMPBA01/src/tube_and_wing/conventional/methodconventionalcleancopy.py b/EMPBA01/src/tube_and_wing/conventional/methodconventionalcleancopy.py
new file mode 100644
index 0000000000000000000000000000000000000000..612160d7776a27da96bd817e3a15ab31eddeca72
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/conventional/methodconventionalcleancopy.py
@@ -0,0 +1,1019 @@
+import sys
+import pandas as pd
+import math
+import csv
+import numpy as np
+import copy
+import matplotlib.pyplot as plt
+import json
+from scipy.interpolate import interp1d
+from scipy.optimize import fsolve
+import pyaircraftgeometry2 as geom2
+import os
+import pickle
+# import pyaixml as aixml
+
+import xml.etree.ElementTree as ET
+
+#Inputliste for volume coeff.
+#Airbus A321
+
+"""Volume coeff calculation"""
+
+"""xml read function"""
+# Load the XML file
+aircraft_xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\CSMR_2020.xml"
+
+try:
+ tree_aircraft = ET.parse(aircraft_xml_file)
+ root_aircraft = tree_aircraft.getroot()
+ print(f"Root tag: {root_aircraft.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+def extract_x_value(mass_element):
+ try:
+ x_element = mass_element.find(".//x/value")
+ if x_element is not None:
+ return float(x_element.text) # Convert the value to a float
+ else:
+ print(f"No x value found in {mass_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting x value: {e}")
+ return None
+
+
+# Extract x values for both masses
+most_forward_mass = root_aircraft.find(".//most_forward_mass")
+most_afterward_mass = root_aircraft.find(".//most_afterward_mass")
+
+if most_forward_mass is not None:
+ forward_x = extract_x_value(most_forward_mass)
+ print(f"Most Forward Mass x-value: {forward_x}")
+else:
+ print("most_forward_mass element not found.")
+
+if most_afterward_mass is not None:
+ afterward_x = extract_x_value(most_afterward_mass)
+ print(f"Most Afterward Mass x-value: {afterward_x}")
+else:
+ print("most_afterward_mass element not found.")
+
+#extract x values pos for fuselage, wing, and empennage
+wing_pos = root_aircraft.find("component_design/wing/position")
+fuselage_pos = root_aircraft.find("component_design/fuselage/position")
+empennage_pos = root_aircraft.find("component_design/empennage/position")
+
+if wing_pos is not None:
+ wing_x = extract_x_value(wing_pos)
+ print(f"wing pos. x-value: {wing_x}")
+else:
+ print("wing pos x-value element not found.")
+
+if fuselage_pos is not None:
+ fuselage_x = extract_x_value(fuselage_pos)
+ print(f"fuselage pos x-value: {fuselage_x}")
+else:
+ print("fuselage pos x-value element not found.")
+
+if empennage_pos is not None:
+ empennage_x = extract_x_value(empennage_pos)
+ print(f"empennage pos x-value: {empennage_x}")
+else:
+ print("empennage pos x-value element not found.")
+
+#extract values for variables.
+def extract_ref_value(ref_element):
+ try:
+ ref_element = ref_element.find(".//value")
+ if ref_element is not None:
+ return float(ref_element.text) # Convert the value to a float
+ else:
+ print(f"No ref value found in {ref_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting ref value: {e}")
+ return None
+
+ref_value_wing_span = root_aircraft.find("analysis/aerodynamics/reference_values/b")
+ref_value_wing_mac = root_aircraft.find("analysis/aerodynamics/reference_values/MAC")
+ref_value_wing_area = root_aircraft.find("analysis/aerodynamics/reference_values/S_ref")
+ref_value_neutral_point = root_aircraft.find("analysis/aerodynamics/reference_values/neutral_point")
+
+if ref_value_wing_span is not None:
+ B_wing = extract_ref_value(ref_value_wing_span)
+ print(f"wing span ref-value: {B_wing}")
+else:
+ print("wing span element not found.")
+
+if ref_value_wing_mac is not None:
+ L_mu = extract_ref_value(ref_value_wing_mac)
+ print(f"wing MAC ref-value: {L_mu}")
+else:
+ print("wing MAC element not found.")
+
+if ref_value_wing_area is not None:
+ F_Wing = extract_ref_value(ref_value_wing_area)
+ print(f"wing area ref-value: {F_Wing}")
+else:
+ print("wing area element not found.")
+
+if ref_value_neutral_point is not None:
+ AC_global = extract_x_value(ref_value_neutral_point)
+ print(f"global neutral point x-value: {AC_global}")
+else:
+ print("global neutral point not found.")
+
+# def read_wing(paths):
+
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# airfoil_data_dir = f'{paths["project_directory"]}/geometry_data/airfoil_data'
+
+# return geom2.factory.WingFactory(acxml, airfoil_data_dir).create("wing/specific/geometry/aerodynamic_surface@0")
+
+
+# def read_fuselage(paths):
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# geometry_data_dir = f'{paths["project_directory"]}/geometry_data/'
+# return geom2.factory.FuselageFactory(acxml, geometry_data_dir).create("fuselage/specific/geometry/fuselage@0")
+# Read fuselage and wing
+# wing = read_wing(paths_and_names)
+# fuselage = read_fuselage(paths_and_names)
+# fuselage_length = geom2.measure.length(fuselage)
+# wing_span = geom2.measure.span(wing)
+
+#wing and empennage from report
+
+B_wing = 35.45 #half Wing span
+L_mu = 4.16 #MAC Wing
+F_Wing = 122.02 #reference Area Wing
+streckungH = 5.46 #Aspect ratio HLW
+lambdaH = 0.28 #tapper ratio HLW
+pfeilungH = 27.58 #sweep quarter cord
+Fh = 23.41 #reference Area HLW
+Bh = 11.31 #half HLW span
+L_mu_h = 2.29 #MAC HLW
+pfe_LE = 32
+pfe_TE = 12.12
+lange_rumpf = 37
+rh = (empennage_x+(0.25*L_mu_h))-(wing_x+(0.25*L_mu))
+Fh_f = Fh/F_Wing
+Vh = (Fh*rh)/(F_Wing*L_mu) #volume coeff. from HLW
+Li_h = (Fh)/((Bh/2)*(lambdaH+1))
+La_h = lambdaH*Li_h
+print(f"FH/f alt:{Fh_f}")
+print(f"Vh :{Vh}")
+print(f"Li h:{Li_h}")
+print(f"La h:{La_h}")
+
+#wing geometry
+Tapper_Lambda = 0.17
+aspect_Ratio= 10.30
+pfeilung25 = 27
+
+
+# Output results
+print(f"rh: {rh}")
+print(f"Fh: {Fh}")
+print(f"Bh: {Bh}")
+
+"""Aerodynamic Calculation"""
+# Path to the XML file
+xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\SMR-2020_design_trimmed_polar.xml"
+
+try:
+ tree = ET.parse(xml_file)
+ root = tree.getroot()
+ print(f"Root tag: {root.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+# Dictionary to store configurations and their polar data
+configurations_data = {}
+
+# Iterate over all configurations
+configurations = root.findall("configurations/configuration")
+if not configurations:
+ print("No configurations found.")
+else:
+ for configuration in configurations:
+ config_id = configuration.get("ID", "No ID")
+ name = configuration.find("name").text if configuration.find("name") is not None else "No name"
+ comment = configuration.find("comment").text if configuration.find("comment") is not None else "No comment"
+
+ # Initialize storage for polars under this configuration
+ polars_data = []
+
+ # Extract polars for this configuration
+ polars = configuration.find("polars")
+ if polars is not None:
+ for polar in polars.findall("polar"):
+ polar_data = {
+ "ID": polar.get("ID", "No ID"),
+ "ExtrapolationMargin": polar.get("ExtrapolationMargin", "No ExtrapolationMargin"),
+ "AllowGridChange": polar.get("AllowGridChange", "No AllowGridChange"),
+ "ReynoldsNumber": polar.find("reynoldsnumber").text if polar.find("reynoldsnumber") is not None else "No reynoldsnumber",
+ "Altitude": polar.find("altitude").text if polar.find("altitude") is not None else "No altitude",
+ "MachNumber": None, # Default to None for invalid or missing values
+ "Alpha": [],
+ "Cl": [],
+ "Cm":[],
+ "iStab_polar": []
+ }
+
+ # Parse Mach Number and convert to float if valid
+ mach_number_text = polar.find("machnumber").text if polar.find("machnumber") is not None else "No machnumber"
+ try:
+ polar_data["MachNumber"] = float(mach_number_text) if mach_number_text != "No machnumber" else None
+ except ValueError:
+ print(f"Error converting Mach Number to float: {mach_number_text}")
+
+ # Parse Alpha values
+ alpha_text = polar.find("Alpha").text if polar.find("Alpha") is not None else "No Alpha"
+ if alpha_text != "No Alpha":
+ try:
+ polar_data["Alpha"] = [float(value) for value in alpha_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Alpha values to floats: {alpha_text}")
+
+ # Parse Cl values
+ cl_text = polar.find("Cl").text if polar.find("Cl") is not None else "No Cl"
+ if cl_text != "No Cl":
+ try:
+ polar_data["Cl"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cl values to floats: {cl_text}")
+ cm_text = polar.find("Cm").text if polar.find("Cm") is not None else "No Cm"
+ if cm_text != "No Cm":
+ try:
+ polar_data["Cm"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cm values to floats: {cm_text}")
+
+ # Parse iStab_polar values
+ istab_polar_text = polar.find("iStab_polar").text if polar.find("iStab_polar") is not None else "No iStab_polar"
+ if istab_polar_text != "No iStab_polar":
+ try:
+ polar_data["iStab_polar"] = [float(value) for value in istab_polar_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting iStab_polar values to floats: {istab_polar_text}")
+
+ # Append the parsed polar data to the list for this configuration
+ polars_data.append(polar_data)
+
+ # Store the data for this configuration
+ configurations_data[config_id] = {
+ "Name": name,
+ "Comment": comment,
+ "Polars": polars_data
+ }
+
+# # Output the structured data
+#for config_id, config_data in configurations_data.items():
+# print(f"\nConfiguration ID: {config_id}")
+# print(f" Name: {config_data['Name']}")
+# print(f" Comment: {config_data['Comment']}")
+# print(" Polars:")
+# for polar in config_data["Polars"]:
+# print(f" Polar ID: {polar['ID']}")
+# print(f" Extrapolation Margin: {polar['ExtrapolationMargin']}")
+# print(f" Allow Grid Change: {polar['AllowGridChange']}")
+# print(f" Reynolds Number: {polar['ReynoldsNumber']}")
+# print(f" Altitude: {polar['Altitude']}")
+# print(f" Mach Number: {polar['MachNumber']}")
+# print(f" Alpha: {polar['Alpha']}")
+# print(f" Cl: {polar['Cl']}")
+# print(f" Cm: {polar['Cm']}")
+# print(f" iStab_polar: {polar['iStab_polar']}")
+
+#calculation from the whole airplane to get the xAC wing and empennage
+
+# User selects a specific configuration to calculate
+config_id_to_calculate = "clean"#input("Enter the configuration ID to calculate (e.g., clean, takeoff, landing): ").strip()
+
+# Ensure the input is valid and matches a configuration
+if config_id_to_calculate not in configurations_data:
+ print(f"Configuration '{config_id_to_calculate}' not found. Please check your input.")
+else:
+ print(f"Calculating for configuration: {config_id_to_calculate}")
+
+ # Extract the data for the selected configuration
+ config_data = configurations_data[config_id_to_calculate]
+ polars = config_data.get("Polars", [])
+ if not polars:
+ print(f"No polars found for configuration {config_id_to_calculate}")
+ else:
+ polar_results = []
+
+ for polar in polars:
+ alpha_values = polar.get("Alpha", [])
+ cl_values = polar.get("Cl", [])
+ cm_values = polar.get("Cm", [])
+
+ if not alpha_values or not cl_values:
+ print(f"No Alpha or Cl values found in polar {polar.get('ID', 'Unknown')} for configuration {config_id_to_calculate}")
+ continue
+
+ number_alpha = len(alpha_values)
+ AC_wing = 0.25 * L_mu #NP for wing
+ AC_wing_pos = wing_x + AC_wing #AC wing position from the reff. point
+ CG_appr = np.linspace(forward_x, afterward_x, 20) #Array for most Forward CG until most Afterward CG
+
+ xac_global = CG_appr-AC_global #gap between the NP of whole Airplane with CG array
+
+ #to Calculate the cmAC and to filter it so we have only a positive cm AC for a static stability if the cm = 0
+ #calculate the cmAC for every Cl with the Xac Array to filter wich CG is still in the static Stability area
+ cm_AC_filtered = []
+ filtered_xac_globals = []
+ #seperate for clean and other configuration
+ for cl_index, cl in enumerate(cl_values):
+ if config_id_to_calculate == "clean":
+ cm_ac_for_cl = cl * (xac_global / L_mu) # Calculation for "clean"
+ else:
+ cm_ac_for_cl = cm_values[cl_index] - (cl * (0.5 * xac_global / L_mu)) # Calculation for others
+
+ positive_indices = [i for i, cm_ac in enumerate(cm_ac_for_cl) if cm_ac > 0]
+ cm_AC_filtered.extend(cm_ac_for_cl[positive_indices])
+ filtered_xac_globals.extend(xac_global[positive_indices])
+
+ filtered_xac_globals = sorted(set(filtered_xac_globals))
+ CG_appr = AC_global + np.array(filtered_xac_globals) #new CG appr for the filtered xac
+
+ xAC_wing_abs = CG_appr - AC_wing_pos #Xac for Wing
+
+ xAC_empennage_negative = xAC_wing_abs-rh #Xac for HLW
+
+ polar_results.append({
+ "Polar ID": polar.get("ID", "Unknown"),
+ "Number of Alpha": number_alpha,
+ "CG_appr_new": CG_appr.tolist(),
+ "xac_global": filtered_xac_globals,
+ "cm_AC": cm_AC_filtered,
+ "xAC_wing_abs": xAC_wing_abs.tolist(),
+ "xAC_empennage_negative": xAC_empennage_negative.tolist()
+ })
+
+ # Save the results for the selected configuration
+ results = {
+ config_id_to_calculate: {
+ "Name": config_data["Name"],
+ "Comment": config_data["Comment"],
+ "Polar Results": polar_results
+ }
+ }
+
+ # Save to a file named after the selected configuration
+ output_file = f"{config_id_to_calculate}_polar_results.json"
+ with open(output_file, "w") as f:
+ json.dump(results, f, indent=4)
+
+ print(f"\nResults for configuration '{config_id_to_calculate}' saved to {output_file}")
+
+
+
+#calculation to get the specified aerodynamics coeff for wing and empennage first only for clean
+#Profil NACA n0012 (symmetric Profil)
+
+# Initialize a variable to hold the results for the configuration
+# Extract configuration from the results
+clean_configuration = results.get("clean", {})
+
+# Check if the clean configuration exists
+if clean_configuration:
+ # Search for polar with ID 11 in the clean configuration
+ polar_11 = None
+ for polar in clean_configuration.get("Polar Results", []):
+ if polar.get("Polar ID") == "11": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the polar values
+ cm_ac = polar_11.get("cm_AC", [])
+ cg_appr = polar_11.get("CG_appr", [])
+ xac_global = polar_11.get("xac_global", [])
+ xac_wing_abs = polar_11.get("xAC_wing_abs", [])
+ xac_empennage_negative = polar_11.get("xAC_empennage_negative", [])
+
+ # #Print out the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Clean Configuration):")
+ # print(f"Positive cm_AC: {cm_ac}")
+ # print(f"Filtered CG_appr: {cg_appr}")
+ # print(f"Filtered xac_global: {xac_global}")
+ # print(f"Filtered xAC_wing_abs: {xac_wing_abs}")
+ # print(f"Filtered xAC_empennage_negative: {xac_empennage_negative}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the results.")
+
+# Access the configurations data to find the clean configuration
+clean_configuration_data = configurations_data.get("clean", {})
+
+# Check if the clean configuration exists
+if clean_configuration_data:
+ # Get the polar data for the clean configuration
+ polars = clean_configuration_data.get("Polars", [])
+
+ # Search for the polar with ID 11
+ polar_11 = None
+ for polar in polars:
+ if polar.get("ID") == "11": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the variables
+ mach_number = polar_11.get("MachNumber")
+ alpha = polar_11.get("Alpha", [])
+ cl = polar_11.get("Cl", [])
+ cm = polar_11.get("Cm", [])
+ istab_polar = polar_11.get("iStab_polar", [])
+
+ # Print the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Configurations Data):")
+ # print(f"Filtered Alpha: {filtered_alpha}")
+ # print(f"Filtered Cl: {filtered_cl}")
+ # print(f"Filtered iStab_polar: {filtered_istab_polar}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the configurations data.")
+
+import json
+output_file = "configuration_polar_results_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+import json
+output_file = "configuration_polar_data_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration_data, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+
+"""
+Start of the Calculation for the aerodynamics
+"""
+
+#for symmetry Profil
+
+alpha_0_w = 0
+alpha_0_h = 0
+cl_0_w = 0
+cl_0_h = 0
+nu = 0.9 #dynamic Pressure efficiency
+
+def find_max_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ max_alpha = max(alpha_array)
+ max_alpha_index = alpha_array.index(max_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_max = cl_array[max_alpha_index]
+
+ return {
+ "Max Alpha": max_alpha,
+ "Max Alpha Index": max_alpha_index,
+ "Corresponding Cl max": corresponding_cl_max
+ }
+
+
+def find_min_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ min_alpha = min(alpha_array)
+ min_alpha_index = alpha_array.index(min_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_min = cl_array[min_alpha_index]
+
+ return {
+ "Min Alpha": min_alpha,
+ "Min Alpha Index": min_alpha_index,
+ "Corresponding Cl min": corresponding_cl_min
+ }
+
+alpha_diff = max(alpha)-min(alpha) #Max Alpha as X2 and Min Alpha as X1
+#print (f"alpha gradient = {alpha_diff}")
+length = len(alpha)
+cl_max_alpha = find_max_alpha_and_corresponding_cl(alpha,cl) #as Y2
+cl_min_alpha = find_min_alpha_and_corresponding_cl(alpha,cl) #as Y1
+cl_diff = cl_max_alpha["Corresponding Cl max"] - cl_min_alpha["Corresponding Cl min"]
+#print (f"cl diff : {cl_diff}")
+
+cl_alpha = cl_diff/np.radians(alpha_diff) #the calculated gradient
+print(f"cl alpha: {cl_alpha}")
+
+cm_alpha = cl_alpha*(np.array(xac_global)/L_mu)
+
+print (f"cm alpha:{cm_alpha}")
+
+#s_m_s = -1*(np.array(xac_global)/L_mu) *100 #in percentage
+s_m_s = -1*(cm_alpha/cl_alpha) *100 #in percentage
+
+iw = 0 #simplified wing angle the same as airplane
+FF = aspect_Ratio/((cl_alpha/(2*math.pi))*np.cos(np.radians(pfeilung25))) #Formfaktor from FE1
+k0 = (0.2692*FF)-(0.03873*pow(FF,2))+(0.002951*pow(FF,3))-(0.0001106*pow(FF,4))+((1.559/1000000)*pow(FF,5)) #Polynomapproximation Konstanten from FE1
+cl_W_alpha = cl_alpha*k0*np.cos(np.radians(pfeilung25))
+print(f"cl alpha for wing : {cl_W_alpha}")
+
+cl_W = cl_0_w + (cl_W_alpha*(np.radians(np.array(alpha)+iw)))
+#print(f"cl wing: {cl_W}")
+
+#Factor for Aspect Ratio
+k_AR = (1/aspect_Ratio)-(1/(1+(aspect_Ratio**1.7)))
+
+#factor for the Tapper ratio
+k_TR = (1-(3*Tapper_Lambda))/7
+
+#HLW position factor
+z_HLW = 0.92429206 #position of HLW in z axes
+k_H = (1-np.abs(z_HLW/B_wing))/(np.sqrt((2*rh)/B_wing))
+
+de_da = 4.44*(k_AR*k_TR*k_H*np.sqrt(np.cos(np.radians(pfeilung25))))**1.19
+#(2*cl_W_alpha)/(math.pi*aspect_Ratio)
+
+print(f"de da: {de_da}")
+
+E0 = 0 #for clow =0
+
+E = np.degrees((6*np.array(cl))/(aspect_Ratio*math.pi**2))
+#(E0+(de_da*(np.radians(np.array(alpha))+iw)))
+#print (f"angle of downwash E : {E}")
+
+pfeilung50H = np.degrees(np.tan(np.radians(pfeilungH))-((4/streckungH)*(0.5-0.25)*((1-lambdaH)/(1+lambdaH))))
+print(f"pfeilung 50 HLW:{pfeilung50H}")
+cl_H_empennage_alpha = (math.pi*streckungH)/(1+np.sqrt(1+(0.25*streckungH*streckungH)*(np.tan(np.radians(pfeilung50H)**2)+1-((mach_number*mach_number)))))
+print (f"cl H empennage alpha: {cl_H_empennage_alpha}")
+
+#calculation for flap/elevator
+
+#approx. for tau
+tau_0 = 0.4
+tau_1 = 0.8
+se_sh_0 = 0.2
+se_sh_1 = 0.7
+
+
+se_sh = 0.2 #the Elevator and Empennage ratio for general Aviation with one Jet from Raymer
+teta_e_0 = -30 #maximal negative deflection for the HLW (positive is clockwise) so the flap is up
+teta_e_1 = 30 #maximal positive deflection for the HLW so the flap is down
+teta_e = np.linspace(teta_e_0, teta_e_1, length) #elevator angle as input array
+#print(f"teta e :{teta_e}")
+
+tau = ((tau_0*(se_sh_1-se_sh))+(tau_1*(se_sh-se_sh_0)))/(se_sh_1-se_sh_0)
+#print(f"tau is: {tau}")
+
+cl_teta_elevator = tau * cl_H_empennage_alpha
+#print(f"elevator cl teta: {cl_teta_elevator}")
+
+cm_teta_elevator = -1*nu*Vh*cl_teta_elevator
+cm_i_h = -1*nu*Vh*cl_H_empennage_alpha
+print(f"cm teta elevator:{cm_teta_elevator}")
+
+cl_H_empennage1 = ((cl-cl_W)*F_Wing)/(Fh*nu) #if the lift is only from wing and empennage
+#print(f"cl empennage :{cl_H_empennage1} ")
+
+cl_H_empennage2 = cl_0_h+ cl_H_empennage_alpha*(np.radians(np.array(alpha)-np.array(E))) + (cl_teta_elevator*(np.radians(np.array(teta_e))))
+#print(f"cl empennage :{cl_H_empennage2} ")
+
+
+
+#pressure calculation
+
+p0 = 101.325
+rho_0 = 1.225 #sealevel density
+h = 10668
+t_0 = 288.15
+r = 287.05287
+T_grad_Tropo = -0.0065
+t_h = t_0 - T_grad_Tropo*(h)
+p_h = p0*(1+((T_grad_Tropo*h)/t_0))**((-9.8/(r*T_grad_Tropo)))
+print(f"druck in altitud:{p_h}")
+v_h = mach_number*343
+cl_max_to = 1.974 #maximal take off lift
+cl_max_clean = 0.509 #maximal lift from clean con
+
+xac_c_ = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+xac_c_cry = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+cr_ca = 0.75 #flap fowler to wing chord ratio from HTML wing report f
+rho_clean = 0.28#p_h/(r*t_h)
+print(f"rho clean in h: {rho_clean}")
+ze = -2.283411255 #the Position of Engine in Z axes from reff. Koordination
+T = 0.25 * 101461.9992*2 #the Thrust for 2 Engine also after the calculation of the resistance
+Mto = 72624.87634021531 #maximal take off mass
+v_stall = np.sqrt((2*9.87*Mto)/(rho_0*cl_max_to*F_Wing))
+print(f"v stall: {v_stall}")
+v_lof = 1.15 * v_stall #the speed for lift off
+qu_TO = rho_0 * 0.5 * v_lof**2 #staudruck
+qu_clean = rho_clean * 0.5 * v_h**2
+print(f"qu clean:{qu_clean}")
+d_cm0_et = 0
+et = 0#flügelschrankung
+cl_000 = max(cl)
+M_clean = 53986
+cl_trim1 = (M_clean*9.8667)/(qu_clean*F_Wing)
+print(f"cl 000 and cl trim:{cl_000} and {cl_trim1}")
+
+c_m_T = ((T*ze)/(qu_clean*(F_Wing)*L_mu))
+print(f"cmt:{c_m_T}")
+
+c_m_h_empennage = nu * Vh * np.array(cl_H_empennage2)
+#print(f" cm for empennage: {c_m_h_empennage}")
+#c_m_wing = cm-c_m_h_empennage-c_m_T
+
+# Find the index where Cl is exactly 0
+index_for_cl_zero = [i for i, cl in enumerate(cl_values) if cl == 0]
+
+# Use this index to find the corresponding values
+
+cm_0 = [cm[i] for i in index_for_cl_zero] #Nullmoment from the whole Airplane
+
+#-1*((cm_alpha*np.radians(alpha))+(cm_teta_elevator*np.radians(teta_e)))
+print(f" cm0 :{cm_0}")
+
+
+xcp_c_ = (-0.25*cr_ca)+0.5
+d_cl_flap = ((2.5*cl_000)-cl_max_clean)/0.95
+d_cm = d_cl_flap * (xac_c_cry-(xcp_c_*cr_ca))
+print(f"dcm :{d_cm}")
+c_m_0_flap = cm_0 + np.array(d_cm)
+c_m_wing1 = (c_m_0_flap*((aspect_Ratio*np.cos(np.radians(pfeilung25)**2))/(aspect_Ratio+(2*np.cos(np.radians(pfeilung25)))))+(d_cm0_et)*et)
+
+print (f"q and xcp/c: {qu_clean} and {xcp_c_}")
+print(f" cmw :{c_m_wing1}")
+print(f"d cl flap: {d_cl_flap}")
+print(f"d cm: {d_cm}")
+print(f"cm0 flap: {c_m_0_flap}")
+
+
+"""
+Start of the Calculation the controllability
+"""
+# xac_global_abs = AC_global - np.array(CG_appr)
+xac_c_plt = CG_appr#(np.array(xac_global) / L_mu)
+xac_c_cry_plt = CG_appr#(np.array(xac_global) / L_mu)
+
+#fh_f_vh = Fh / F_Wing
+
+# Find the index where Cl is exactly 0
+index_for_cl_zero = [i for i, cl in enumerate(cl_values) if cl == 0]
+
+# Use this index to find the corresponding alpha values
+alpha_cl0 = [alpha[i] for i in index_for_cl_zero]
+
+print(f"Cl trim :{cl_000}")
+
+
+def calculate_cmAC_max(cl_000, xac_global, L_mu):
+ return -1 * cl_000 * (min(xac_global) / L_mu)
+
+def calculate_cmAC_max_e(c_m_0_flap, cm_alpha, alpha_cl0, cm_teta_elevator, teta_e):
+ return min(c_m_0_flap) + (min(cm_alpha) * np.radians(alpha_cl0)) + cm_i_h * np.radians(teta_e)
+
+# Target value
+cmAC_max = calculate_cmAC_max(cl_000, xac_global, L_mu)
+
+teta_e = None
+
+# Bisection method for faster convergence
+if teta_e is None:
+ lower_bound = -90 # Lower bound for teta_e (degrees)
+ upper_bound = 90 # Upper bound for teta_e (degrees)
+ tolerance = 1e-6 # Tolerance for matching
+
+ def f(teta_e):
+ return calculate_cmAC_max_e(c_m_0_flap, cm_alpha, alpha_cl0, cm_teta_elevator, teta_e) - cmAC_max
+
+ # Ensure root exists in the interval
+ if f(lower_bound) * f(upper_bound) > 0:
+ raise ValueError("Root is not bracketed within the given bounds. Adjust the bounds.")
+
+ # Bisection loop
+ while (upper_bound - lower_bound) / 2 > tolerance:
+ midpoint = (lower_bound + upper_bound) / 2
+ if f(midpoint) == 0:
+ teta_e = midpoint
+ break
+ elif f(lower_bound) * f(midpoint) < 0:
+ upper_bound = midpoint
+ else:
+ lower_bound = midpoint
+
+ teta_e = (lower_bound + upper_bound) / 2 # Final approximation
+
+# # Save teta_e with constants
+# with open(save_file, 'w') as file:
+# json.dump({
+# 'cl_000': float(cl_000),
+# 'xac_global': list(xac_global),
+# 'L_mu': float(L_mu),
+# 'c_m_0_flap': list(c_m_0_flap),
+# 'cm_alpha': list(cm_alpha),
+# 'alpha_cl0': float(alpha_cl0),
+# 'cm_teta_elevator': float(cm_teta_elevator),
+# 'teta_e': float(teta_e)
+# }, file)
+# else:
+cmAC_max_e = calculate_cmAC_max_e(c_m_0_flap, cm_alpha, alpha_cl0, cm_teta_elevator, teta_e)
+
+# Display results
+print(f"cmAC for most aft CG: {cmAC_max}")
+print(f"cmAC for minimal elevator: {cmAC_max_e}")
+print(f"Optimal teta_e: {teta_e} degrees")
+
+# The value of teta_e can be used for further calculations.
+
+
+#CG envelope for controllability
+fh_f_cry = ((cl_000*(min(xac_global)/L_mu))+c_m_0_flap+(cm_alpha*np.radians(alpha_cl0))+c_m_T)/((nu*cl_H_empennage_alpha*np.radians(teta_e))*((-1*(min(xac_empennage_negative)))/L_mu))
+print(f"fh/f for controlabillity:{fh_f_cry}")
+fh_f_ss = (cl_W_alpha*(np.array(xac_wing_abs)/L_mu))/(nu*cl_H_empennage_alpha*(1-de_da)*(-1*(np.array(xac_empennage_negative))/L_mu))
+fh_f_ss_m = 0.05*fh_f_ss + fh_f_ss
+# Save to dictionary
+results = {
+ "fh_f_cry": fh_f_cry.tolist(),
+ "fh_f_ss": fh_f_ss.tolist(),
+ #"fh_f_vh": fh_f_vh,
+ #"xac_c_": xac_c_plt.tolist()
+}
+
+# Write dictionary to a JSON file
+file_path = "results.json"
+with open(file_path, "w") as f:
+ json.dump(results, f, indent=4)
+
+print(f"Results saved to {file_path}")
+
+# Finding the intersection point
+def find_intersection(x):
+ return np.interp(x, xac_c_cry_plt, fh_f_cry) - np.interp(x, xac_c_plt, fh_f_ss)
+
+# Initial guess for the intersection
+x_guess = np.mean(xac_c_cry_plt)
+x_intersection = fsolve(find_intersection, x_guess)[0]
+
+# Corresponding fh/f at intersection
+fh_f_intersection = np.interp(x_intersection, xac_c_cry_plt, fh_f_cry)
+
+# Calculate 10% margins (forward and backward along respective lines)
+dx = 0.2 * (min(xac_c_cry_plt) - max(xac_c_cry_plt))
+
+# Forward margin along controllability
+x_forward = x_intersection + dx
+print(f"x fwd:{x_forward}")
+new_xac_global = x_forward - AC_global
+xac_c_cry_new = new_xac_global/L_mu
+d_cm_new = d_cl_flap * (xac_c_cry_new-(xcp_c_*cr_ca))
+c_m_0_flap_new = cm_0 + d_cm_new
+cm_alpha_new = cl_alpha*(new_xac_global/L_mu)
+
+fh_f_forward1 = ((cl_000*(min(xac_global)/L_mu))+c_m_0_flap_new+(cm_alpha_new*np.radians(alpha_cl0))+c_m_T)/((nu*cl_H_empennage_alpha*np.radians(teta_e))*((-1*(min(xac_empennage_negative)))/L_mu))
+fh_f_forward = fh_f_forward1[0]
+print(f"fh/f forw: {fh_f_forward}")
+
+# # Backward margin along static stability
+# x_backward = x_intersection - dx
+# print(f"x aft:{x_backward}")
+# xAC_wing_new = np.abs(AC_wing_pos - x_backward) #Xac for Wing
+# print(f"xAC wing new:{xAC_wing_new}")
+# xAC_empennage_new = xAC_wing_new-rh #Xac for HLW
+
+# fh_f_backward = (cl_W_alpha*((xAC_wing_new)/L_mu))/(nu*cl_H_empennage_alpha*(1-de_da)*(-1*(xAC_empennage_new)/L_mu))
+fh_f_backward = fh_f_forward -0.05*fh_f_forward
+fh_f_backward_m = 0.05*fh_f_backward +fh_f_backward
+xacw_xach_neu = -1*(fh_f_backward*((nu*cl_H_empennage_alpha*(1-de_da))/cl_W_alpha))
+xach_neu = rh/(xacw_xach_neu-1)
+print(f"xach new: {xach_neu}")
+xacw_neu = rh+xach_neu
+print(f"xacw new: {xacw_neu}")
+x_backward = AC_wing_pos +xacw_neu
+print(f"xaft : {x_backward}")
+#fh_f_backward = 0.05*fh_f_backward1 + fh_f_backward1
+print(f"fh/f aft: {fh_f_backward}")
+# Define the minimal Fh/F above the intersection point
+
+minimal_fh_f = np.linspace(fh_f_forward,fh_f_backward,1)
+
+# Save most forward and afterward CG positions
+most_forward_cg = x_forward
+afterward_cg = x_backward
+
+
+# Plotting
+plt.figure(figsize=(10, 6))
+plt.plot(xac_c_cry_plt, fh_f_cry, label='Controllability ($Fh/F_{cry}$)', color='green')
+plt.plot(xac_c_plt, fh_f_ss, label='Static Stability ($Fh/F_{ss}$)', color='red')
+plt.plot(xac_c_plt, fh_f_ss_m, label='Static Stability with margin ($Fh/F_{ss}$)', color='red', linestyle='--')
+
+# Plot the minimal Fh/F line above the intersection
+plt.hlines(minimal_fh_f, x_backward, x_forward, label='Minimal $Fh/F$', color='blue', linestyle='-.')
+
+# Mark intersection point
+plt.scatter(x_intersection, fh_f_intersection, color='black', zorder=5)
+
+# Mark the new margins as points
+plt.scatter([x_forward, x_backward], [fh_f_forward, fh_f_backward_m], color='purple', zorder=5, label='Margins')
+
+plt.xlabel('$X_{CG,global}$', fontsize=14)
+plt.ylabel('$Fh/F$', fontsize=14)
+plt.title('$Fh/F$ vs $X_{AC,global}$', fontsize=16)
+plt.legend(fontsize=12)
+plt.grid()
+plt.show()
+
+fh_f_neu = (fh_f_backward+fh_f_forward)/2
+fh_neu = (fh_f_neu*F_Wing)
+print (f"neu fh:{fh_neu}")
+
+Bh_neu1 = np.sqrt(fh_neu*streckungH)
+Bh_neu = Bh_neu1/2
+Li_h_neu = (fh_neu)/(Bh_neu*(lambdaH+1))
+La_h_neu = lambdaH*Li_h_neu
+L_mu_h_neu = Li_h_neu*((2/3)*((1+lambdaH+lambdaH**2)/(1+lambdaH)))
+rh_neu = (empennage_x+(0.25*L_mu_h_neu))-(wing_x+(0.25*L_mu))
+vh_neu = ((fh_neu)*rh_neu)/(F_Wing*L_mu) #volume coeff. from HLW
+print(f"MAC HLW new:{L_mu_h_neu}")
+print(f"rh new:{rh_neu}")
+print(f"Vh neu:{vh_neu}")
+print(f"bh new:{Bh_neu}")
+print(f"Li hlw new:{Li_h_neu}")
+print(f"La hlw new:{La_h_neu}")
+
+y_hlw_le = np.tan(np.radians(pfe_LE))*Bh_neu
+y_hlw_te = np.tan(np.radians(pfe_TE))*Bh_neu
+print(f"yLi hlw new:{y_hlw_le}")
+print(f"yLa hlw new:{y_hlw_te}")
+
+
+# Save results in a dictionary
+results = {
+ "Bh_neu": Bh_neu,
+ "Li_h_neu": Li_h_neu,
+ "La_h_neu": La_h_neu,
+ "y_hlw_le": y_hlw_le,
+ "y_hlw_te": y_hlw_te
+}
+
+# Saving to a pickle file
+with open('results.pkl', 'wb') as file:
+ pickle.dump(results, file)
+
+#Elevator geometry Calculations
+
+#abfangmanouvre
+vs_dyn = np.sqrt((2.5*M_clean*9.8667)/(cl_max_clean*(rho_clean/2)*F_Wing))
+cm_q = -1*nu*fh_f_neu*((min(xac_empennage_negative)**2)/L_mu)*cl_H_empennage_alpha
+cl_q = -1*nu*fh_f_neu*((min(xac_empennage_negative))/L_mu)*cl_H_empennage_alpha
+print(f"cmq und clq:{cm_q} und {cl_q}")
+qu = (2.5*9.86)/vs_dyn
+delta_cl = (cl_alpha*np.radians(max(alpha)))+(cl_q*(L_mu/vs_dyn)*qu)+(cl_teta_elevator*np.radians(teta_e_1))
+c_m_eta_AB = (((delta_cl*min(cm_alpha))+(((cm_q*cl_alpha)-(cl_q*min(cm_alpha)))*qu*(L_mu/vs_dyn)))/(cl_alpha+((L_mu/rh_neu)*max(cm_alpha))))#/np.radians(teta_e_1)
+print(f"cm eta AB:{c_m_eta_AB}")
+
+#takeoffmanouvre
+cm_to = 0.353601
+c_m_eta_trim_TO = -1.1*cm_to
+print(f"cm eta trim TO:{c_m_eta_trim_TO}")
+
+Iyy_fw = 0.0
+wbesch = 8
+x_ach =empennage_x+(0.25*L_mu_h_neu)
+x_fw = 17.3118
+h_b = 0.2
+z_cg = 0
+z_fw = -1.5956
+delta_cwi = -1*(((1-1.32*h_b)*cl_max_to**2)/((1.05+7.4*h_b)*math.pi*aspect_Ratio))
+c_m_eta_rot_TO = (((Iyy_fw*wbesch)/(qu_TO*F_Wing*L_mu))*((x_ach-afterward_cg)/(x_ach-x_fw)))-(delta_cwi*((z_fw-z_cg)/L_mu))
+print(f"cm eta rot TO:{c_m_eta_rot_TO}")
+
+c_m_eta_TO = (c_m_eta_rot_TO+c_m_eta_trim_TO)
+print(f"cm eta TO:{c_m_eta_TO}")
+
+
+
+#geometrie of the Elevator
+f_elevator= (se_sh*fh_neu)
+b_elevator = 0.7*Bh_neu#(np.sqrt(f_elevator*streckungH))/2
+Li_elevator = (f_elevator)/(b_elevator*(lambdaH+1))
+La_elevator = lambdaH*Li_elevator
+y_elevator_le = np.tan(np.radians(pfe_LE))*b_elevator
+y_pos_e_1 = 0.2 * Bh_neu
+y_pos_e_2 = y_pos_e_1 + b_elevator
+
+y_TE_e_1 = ((Li_h_neu*(Bh_neu-y_pos_e_1))+((y_hlw_le+La_h_neu)*(y_pos_e_1-0)))/(Bh_neu-0)
+y_TE_e_2 = ((Li_h_neu*(Bh_neu-y_pos_e_2))+((y_hlw_le+La_h_neu)*(y_pos_e_2-0)))/(Bh_neu-0)
+print(f"Li elevator new:{Li_elevator}")
+print(f"La elevator new:{La_elevator}")
+print(f"F und B elevator:{f_elevator} and {b_elevator}")
+print(f"y2 elevator new:{y_elevator_le}")
+
+# Defining the coordinates
+# Root leading edge (0, 0), trailing edge (Li_h_neu, 0)
+# Tip leading edge (Bh_neu, offset), trailing edge (Bh_neu, offset + La_h_neu)
+
+# Coordinates of the trapezoid
+tailplane_coords = np.array([
+ [0, 0], # Root treading edge
+ [Bh_neu, y_hlw_le], # Root leading edge
+ [Bh_neu, (y_hlw_le+La_h_neu)], # Tip leading edge
+ [0, Li_h_neu], # Tip treading edge
+ [0, 0] # Closing the shape
+])
+
+elevator_coords = np.array([
+ [y_pos_e_1, y_TE_e_1], # Root treading edge
+ [y_pos_e_1, (y_TE_e_1-Li_elevator)], # Root leading edge
+ [y_pos_e_2, (y_TE_e_2-La_elevator)], # Tip leading edge
+ [y_pos_e_2, y_TE_e_2], # Tip treading edge
+ [y_pos_e_1, y_TE_e_1] # Closing the shape
+])
+
+
+#Spar Geometry
+front_spar_x_prznt = 0.2
+rear_spar_x_prnznt = 0.6
+
+front_spar_x_1 = (front_spar_x_prznt * Li_h_neu)
+front_spar_x_2 = (front_spar_x_prznt * La_h_neu) + y_hlw_le
+
+rear_spar_x_1 = (rear_spar_x_prnznt * Li_h_neu)
+rear_spar_x_2 = (rear_spar_x_prnznt * La_h_neu) + y_hlw_le
+
+spars_front_coords = np.array([
+ [0, front_spar_x_1], # Root treading edge
+ [Bh_neu, front_spar_x_2],
+ ])
+
+spars_rear_coords = np.array([
+ [0, rear_spar_x_1], # Root treading edge
+ [Bh_neu, rear_spar_x_2],
+ ])
+
+# Plotting the geometry
+plt.figure(figsize=(10, 5))
+plt.plot(tailplane_coords[:, 0], tailplane_coords[:, 1], color= 'blue',linestyle= '-')
+plt.plot(elevator_coords[:, 0], elevator_coords[:, 1],color= 'red',linestyle= '-')
+plt.plot(spars_front_coords[:, 0], spars_front_coords[:, 1],color= 'black',linestyle= '--')
+plt.plot(spars_rear_coords[:, 0], spars_rear_coords[:, 1],color= 'black',linestyle= '--')
+plt.fill(tailplane_coords[:, 0], tailplane_coords[:, 1], alpha=0.3)
+
+# Labels and grid
+plt.title("Tailplane Geometry")
+plt.xlabel("Spanwise Distance")
+plt.ylabel("Chord Length")
+plt.grid(True)
+plt.axis('equal')
+
+plt.show()
+new_cm_ih= -1*nu*vh_neu*cl_H_empennage_alpha
+new_cmAC = min(c_m_0_flap) + (min(cm_alpha) * np.radians(alpha_cl0)) + new_cm_ih * np.radians(teta_e)
+print(f"new cmac :{new_cmAC}")
\ No newline at end of file
diff --git a/EMPBA01/src/tube_and_wing/conventional/methodconventionalcleanslw.py b/EMPBA01/src/tube_and_wing/conventional/methodconventionalcleanslw.py
new file mode 100644
index 0000000000000000000000000000000000000000..c0db42cfda189f156f403355aee26d30d3ca642d
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/conventional/methodconventionalcleanslw.py
@@ -0,0 +1,1033 @@
+import sys
+import pandas as pd
+import math
+import csv
+import numpy as np
+import copy
+import matplotlib.pyplot as plt
+import json
+from scipy.interpolate import interp1d
+from scipy.optimize import fsolve
+import pyaircraftgeometry2 as geom2
+import os
+import pickle
+# import pyaixml as aixml
+
+import xml.etree.ElementTree as ET
+
+#Inputliste for volume coeff.
+#Airbus A321
+
+"""Volume coeff calculation"""
+
+"""xml read function"""
+# Load the XML file
+aircraft_xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\CSMR_2020.xml"
+
+try:
+ tree_aircraft = ET.parse(aircraft_xml_file)
+ root_aircraft = tree_aircraft.getroot()
+ print(f"Root tag: {root_aircraft.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+def extract_x_value(mass_element):
+ try:
+ x_element = mass_element.find(".//x/value")
+ if x_element is not None:
+ return float(x_element.text) # Convert the value to a float
+ else:
+ print(f"No x value found in {mass_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting x value: {e}")
+ return None
+
+
+# Extract x values for both masses
+most_forward_mass = root_aircraft.find(".//most_forward_mass")
+most_afterward_mass = root_aircraft.find(".//most_afterward_mass")
+
+if most_forward_mass is not None:
+ forward_x = extract_x_value(most_forward_mass)
+ print(f"Most Forward Mass x-value: {forward_x}")
+else:
+ print("most_forward_mass element not found.")
+
+if most_afterward_mass is not None:
+ afterward_x = extract_x_value(most_afterward_mass)
+ print(f"Most Afterward Mass x-value: {afterward_x}")
+else:
+ print("most_afterward_mass element not found.")
+
+#extract x values pos for fuselage, wing, and empennage
+wing_pos = root_aircraft.find("component_design/wing/position")
+fuselage_pos = root_aircraft.find("component_design/fuselage/position")
+empennage_pos = root_aircraft.find("component_design/empennage/position")
+
+if wing_pos is not None:
+ wing_x = extract_x_value(wing_pos)
+ print(f"wing pos. x-value: {wing_x}")
+else:
+ print("wing pos x-value element not found.")
+
+if fuselage_pos is not None:
+ fuselage_x = extract_x_value(fuselage_pos)
+ print(f"fuselage pos x-value: {fuselage_x}")
+else:
+ print("fuselage pos x-value element not found.")
+
+if empennage_pos is not None:
+ empennage_x = extract_x_value(empennage_pos)
+ print(f"empennage pos x-value: {empennage_x}")
+else:
+ print("empennage pos x-value element not found.")
+
+#extract values for variables.
+def extract_ref_value(ref_element):
+ try:
+ ref_element = ref_element.find(".//value")
+ if ref_element is not None:
+ return float(ref_element.text) # Convert the value to a float
+ else:
+ print(f"No ref value found in {ref_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting ref value: {e}")
+ return None
+
+ref_value_wing_span = root_aircraft.find("analysis/aerodynamics/reference_values/b")
+ref_value_wing_mac = root_aircraft.find("analysis/aerodynamics/reference_values/MAC")
+ref_value_wing_area = root_aircraft.find("analysis/aerodynamics/reference_values/S_ref")
+ref_value_neutral_point = root_aircraft.find("analysis/aerodynamics/reference_values/neutral_point")
+
+if ref_value_wing_span is not None:
+ B_wing = extract_ref_value(ref_value_wing_span)
+ print(f"wing span ref-value: {B_wing}")
+else:
+ print("wing span element not found.")
+
+if ref_value_wing_mac is not None:
+ L_mu = extract_ref_value(ref_value_wing_mac)
+ print(f"wing MAC ref-value: {L_mu}")
+else:
+ print("wing MAC element not found.")
+
+if ref_value_wing_area is not None:
+ F_Wing = extract_ref_value(ref_value_wing_area)
+ print(f"wing area ref-value: {F_Wing}")
+else:
+ print("wing area element not found.")
+
+if ref_value_neutral_point is not None:
+ AC_global = extract_x_value(ref_value_neutral_point)
+ print(f"global neutral point x-value: {AC_global}")
+else:
+ print("global neutral point not found.")
+
+# def read_wing(paths):
+
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# airfoil_data_dir = f'{paths["project_directory"]}/geometry_data/airfoil_data'
+
+# return geom2.factory.WingFactory(acxml, airfoil_data_dir).create("wing/specific/geometry/aerodynamic_surface@0")
+
+
+# def read_fuselage(paths):
+# acxml = aixml.openDocument(paths["path_to_aircraft_exchange_file"])
+# geometry_data_dir = f'{paths["project_directory"]}/geometry_data/'
+# return geom2.factory.FuselageFactory(acxml, geometry_data_dir).create("fuselage/specific/geometry/fuselage@0")
+# Read fuselage and wing
+# wing = read_wing(paths_and_names)
+# fuselage = read_fuselage(paths_and_names)
+# fuselage_length = geom2.measure.length(fuselage)
+# wing_span = geom2.measure.span(wing)
+
+#wing and empennage from report
+
+B_wing = 35.45 #half Wing span
+L_mu = 4.16 #MAC Wing
+F_Wing = 122.02 #reference Area Wing
+streckungH = 5.46 #Aspect ratio HLW
+lambdaH = 0.28 #tapper ratio HLW
+pfeilungH = 27.58 #sweep quarter cord
+Fh = 23.41 #reference Area HLW
+Bh = 11.31 #half HLW span
+L_mu_h = 2.29 #MAC HLW
+pfe_LE = 32
+pfe_TE = 12.12
+lange_rumpf = 37
+rh = (empennage_x+(0.25*L_mu_h))-(wing_x+(0.25*L_mu))
+Fh_f = Fh/F_Wing
+Vh = (Fh*rh)/(F_Wing*L_mu) #volume coeff. from HLW
+Li_h = (Fh)/((Bh/2)*(lambdaH+1))
+La_h = lambdaH*Li_h
+print(f"FH/f alt:{Fh_f}")
+print(f"Vh :{Vh}")
+print(f"Li h:{Li_h}")
+print(f"La h:{La_h}")
+
+Fs = 20.16 #reference Area HLW
+Bs = 6.44 #half HLW span
+L_mu_s = 3.48 #MAC HLW
+pfe_LE_s = 39
+pfe_TE_s = 13.82
+streckungs = 2.06#Aspect ratio HLW
+lambdas = 0.27 #tapper ratio HLW
+pfeilungs = 33.78 #sweep quarter cord
+
+rs = (empennage_x+(0.25*L_mu_s))-(wing_x+(0.25*L_mu))
+Fs_f = Fs/F_Wing
+Vs = (Fs*rs)/(F_Wing*L_mu) #volume coeff. from HLW
+Li_s = (Fs)/((Bs/2)*(lambdas+1))
+La_s = lambdas*Li_s
+print(f"Fs/f alt:{Fs_f}")
+print(f"Vs :{Vs}")
+print(f"Li s:{Li_s}")
+print(f"La s:{La_s}")
+
+#wing geometry
+Tapper_Lambda = 0.17
+aspect_Ratio= 10.30
+pfeilung25 = 27
+
+
+# Output results
+print(f"rs: {rs}")
+print(f"Fs: {Fs}")
+print(f"Bs: {Bs}")
+
+"""Aerodynamic Calculation"""
+# Path to the XML file
+xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\SMR-2020_design_trimmed_polar.xml"
+
+try:
+ tree = ET.parse(xml_file)
+ root = tree.getroot()
+ print(f"Root tag: {root.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+# Dictionary to store configurations and their polar data
+configurations_data = {}
+
+# Iterate over all configurations
+configurations = root.findall("configurations/configuration")
+if not configurations:
+ print("No configurations found.")
+else:
+ for configuration in configurations:
+ config_id = configuration.get("ID", "No ID")
+ name = configuration.find("name").text if configuration.find("name") is not None else "No name"
+ comment = configuration.find("comment").text if configuration.find("comment") is not None else "No comment"
+
+ # Initialize storage for polars under this configuration
+ polars_data = []
+
+ # Extract polars for this configuration
+ polars = configuration.find("polars")
+ if polars is not None:
+ for polar in polars.findall("polar"):
+ polar_data = {
+ "ID": polar.get("ID", "No ID"),
+ "ExtrapolationMargin": polar.get("ExtrapolationMargin", "No ExtrapolationMargin"),
+ "AllowGridChange": polar.get("AllowGridChange", "No AllowGridChange"),
+ "ReynoldsNumber": polar.find("reynoldsnumber").text if polar.find("reynoldsnumber") is not None else "No reynoldsnumber",
+ "Altitude": polar.find("altitude").text if polar.find("altitude") is not None else "No altitude",
+ "MachNumber": None, # Default to None for invalid or missing values
+ "Alpha": [],
+ "Cl": [],
+ "Cm":[],
+ "iStab_polar": []
+ }
+
+ # Parse Mach Number and convert to float if valid
+ mach_number_text = polar.find("machnumber").text if polar.find("machnumber") is not None else "No machnumber"
+ try:
+ polar_data["MachNumber"] = float(mach_number_text) if mach_number_text != "No machnumber" else None
+ except ValueError:
+ print(f"Error converting Mach Number to float: {mach_number_text}")
+
+ # Parse Alpha values
+ alpha_text = polar.find("Alpha").text if polar.find("Alpha") is not None else "No Alpha"
+ if alpha_text != "No Alpha":
+ try:
+ polar_data["Alpha"] = [float(value) for value in alpha_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Alpha values to floats: {alpha_text}")
+
+ # Parse Cl values
+ cl_text = polar.find("Cl").text if polar.find("Cl") is not None else "No Cl"
+ if cl_text != "No Cl":
+ try:
+ polar_data["Cl"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cl values to floats: {cl_text}")
+ cm_text = polar.find("Cm").text if polar.find("Cm") is not None else "No Cm"
+ if cm_text != "No Cm":
+ try:
+ polar_data["Cm"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cm values to floats: {cm_text}")
+
+ # Parse iStab_polar values
+ istab_polar_text = polar.find("iStab_polar").text if polar.find("iStab_polar") is not None else "No iStab_polar"
+ if istab_polar_text != "No iStab_polar":
+ try:
+ polar_data["iStab_polar"] = [float(value) for value in istab_polar_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting iStab_polar values to floats: {istab_polar_text}")
+
+ # Append the parsed polar data to the list for this configuration
+ polars_data.append(polar_data)
+
+ # Store the data for this configuration
+ configurations_data[config_id] = {
+ "Name": name,
+ "Comment": comment,
+ "Polars": polars_data
+ }
+
+# # Output the structured data
+#for config_id, config_data in configurations_data.items():
+# print(f"\nConfiguration ID: {config_id}")
+# print(f" Name: {config_data['Name']}")
+# print(f" Comment: {config_data['Comment']}")
+# print(" Polars:")
+# for polar in config_data["Polars"]:
+# print(f" Polar ID: {polar['ID']}")
+# print(f" Extrapolation Margin: {polar['ExtrapolationMargin']}")
+# print(f" Allow Grid Change: {polar['AllowGridChange']}")
+# print(f" Reynolds Number: {polar['ReynoldsNumber']}")
+# print(f" Altitude: {polar['Altitude']}")
+# print(f" Mach Number: {polar['MachNumber']}")
+# print(f" Alpha: {polar['Alpha']}")
+# print(f" Cl: {polar['Cl']}")
+# print(f" Cm: {polar['Cm']}")
+# print(f" iStab_polar: {polar['iStab_polar']}")
+
+#calculation from the whole airplane to get the xAC wing and empennage
+
+# User selects a specific configuration to calculate
+config_id_to_calculate = "clean"#input("Enter the configuration ID to calculate (e.g., clean, takeoff, landing): ").strip()
+
+# Ensure the input is valid and matches a configuration
+if config_id_to_calculate not in configurations_data:
+ print(f"Configuration '{config_id_to_calculate}' not found. Please check your input.")
+else:
+ print(f"Calculating for configuration: {config_id_to_calculate}")
+
+ # Extract the data for the selected configuration
+ config_data = configurations_data[config_id_to_calculate]
+ polars = config_data.get("Polars", [])
+ if not polars:
+ print(f"No polars found for configuration {config_id_to_calculate}")
+ else:
+ polar_results = []
+
+ for polar in polars:
+ alpha_values = polar.get("Alpha", [])
+ cl_values = polar.get("Cl", [])
+ cm_values = polar.get("Cm", [])
+
+ if not alpha_values or not cl_values:
+ print(f"No Alpha or Cl values found in polar {polar.get('ID', 'Unknown')} for configuration {config_id_to_calculate}")
+ continue
+
+ number_alpha = len(alpha_values)
+ AC_wing = 0.25 * L_mu #NP for wing
+ AC_wing_pos = wing_x + AC_wing #AC wing position from the reff. point
+ CG_appr = np.linspace(forward_x, afterward_x, 20) #Array for most Forward CG until most Afterward CG
+
+ xac_global = CG_appr-AC_global #gap between the NP of whole Airplane with CG array
+
+ #to Calculate the cmAC and to filter it so we have only a positive cm AC for a static stability if the cm = 0
+ #calculate the cmAC for every Cl with the Xac Array to filter wich CG is still in the static Stability area
+ cm_AC_filtered = []
+ filtered_xac_globals = []
+ #seperate for clean and other configuration
+ for cl_index, cl in enumerate(cl_values):
+ if config_id_to_calculate == "clean":
+ cm_ac_for_cl = cl * (xac_global / L_mu) # Calculation for "clean"
+ else:
+ cm_ac_for_cl = cm_values[cl_index] - (cl * (0.5 * xac_global / L_mu)) # Calculation for others
+
+ positive_indices = [i for i, cm_ac in enumerate(cm_ac_for_cl) if cm_ac > 0]
+ cm_AC_filtered.extend(cm_ac_for_cl[positive_indices])
+ filtered_xac_globals.extend(xac_global[positive_indices])
+
+ filtered_xac_globals = sorted(set(filtered_xac_globals))
+ CG_appr = AC_global + np.array(filtered_xac_globals) #new CG appr for the filtered xac
+
+ xAC_wing_abs = CG_appr - AC_wing_pos #Xac for Wing
+
+ xAC_empennage_negative = xAC_wing_abs-rs #Xac for HLW
+
+ polar_results.append({
+ "Polar ID": polar.get("ID", "Unknown"),
+ "Number of Alpha": number_alpha,
+ "CG_appr_new": CG_appr.tolist(),
+ "xac_global": filtered_xac_globals,
+ "cm_AC": cm_AC_filtered,
+ "xAC_wing_abs": xAC_wing_abs.tolist(),
+ "xAC_empennage_negative": xAC_empennage_negative.tolist()
+ })
+
+ # Save the results for the selected configuration
+ results = {
+ config_id_to_calculate: {
+ "Name": config_data["Name"],
+ "Comment": config_data["Comment"],
+ "Polar Results": polar_results
+ }
+ }
+
+ # Save to a file named after the selected configuration
+ output_file = f"{config_id_to_calculate}_polar_results.json"
+ with open(output_file, "w") as f:
+ json.dump(results, f, indent=4)
+
+ print(f"\nResults for configuration '{config_id_to_calculate}' saved to {output_file}")
+
+
+
+#calculation to get the specified aerodynamics coeff for wing and empennage first only for clean
+#Profil NACA n0012 (symmetric Profil)
+
+# Initialize a variable to hold the results for the configuration
+# Extract configuration from the results
+clean_configuration = results.get("clean", {})
+
+# Check if the clean configuration exists
+if clean_configuration:
+ # Search for polar with ID 11 in the clean configuration
+ polar_11 = None
+ for polar in clean_configuration.get("Polar Results", []):
+ if polar.get("Polar ID") == "11": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the polar values
+ cm_ac = polar_11.get("cm_AC", [])
+ cg_appr = polar_11.get("CG_appr", [])
+ xac_global = polar_11.get("xac_global", [])
+ xac_wing_abs = polar_11.get("xAC_wing_abs", [])
+ xac_empennage_negative = polar_11.get("xAC_empennage_negative", [])
+
+ # #Print out the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Clean Configuration):")
+ # print(f"Positive cm_AC: {cm_ac}")
+ # print(f"Filtered CG_appr: {cg_appr}")
+ # print(f"Filtered xac_global: {xac_global}")
+ # print(f"Filtered xAC_wing_abs: {xac_wing_abs}")
+ # print(f"Filtered xAC_empennage_negative: {xac_empennage_negative}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the results.")
+
+# Access the configurations data to find the clean configuration
+clean_configuration_data = configurations_data.get("clean", {})
+
+# Check if the clean configuration exists
+if clean_configuration_data:
+ # Get the polar data for the clean configuration
+ polars = clean_configuration_data.get("Polars", [])
+
+ # Search for the polar with ID 11
+ polar_11 = None
+ for polar in polars:
+ if polar.get("ID") == "11": # Check if this polar has ID 11
+ polar_11 = polar
+ break
+
+ # If the polar with ID 11 is found, process the data
+ if polar_11:
+ # Extract the variables
+ mach_number = polar_11.get("MachNumber")
+ alpha = polar_11.get("Alpha", [])
+ cl = polar_11.get("Cl", [])
+ cm = polar_11.get("Cm", [])
+ istab_polar = polar_11.get("iStab_polar", [])
+
+ # Print the filtered results for verification
+ # print("Filtered Results for Polar ID 11 (Configurations Data):")
+ # print(f"Filtered Alpha: {filtered_alpha}")
+ # print(f"Filtered Cl: {filtered_cl}")
+ # print(f"Filtered iStab_polar: {filtered_istab_polar}")
+
+ else:
+ print("No polar with ID 11 found for the clean configuration.")
+else:
+ print("No clean configuration found in the configurations data.")
+
+import json
+output_file = "configuration_polar_results_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+import json
+output_file = "configuration_polar_data_clean.json"
+with open(output_file, "w") as f:
+ json.dump(clean_configuration_data, f, indent=4)
+
+print(f"\nResults saved to {output_file}")
+
+
+"""
+Start of the Calculation for the aerodynamics
+"""
+
+#for symmetry Profil
+
+alpha_0_w = 0
+alpha_0_h = 0
+cl_0_w = 0
+cl_0_h = 0
+nu = 0.9 #dynamic Pressure efficiency
+
+def find_max_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ max_alpha = max(alpha_array)
+ max_alpha_index = alpha_array.index(max_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_max = cl_array[max_alpha_index]
+
+ return {
+ "Max Alpha": max_alpha,
+ "Max Alpha Index": max_alpha_index,
+ "Corresponding Cl max": corresponding_cl_max
+ }
+
+
+def find_min_alpha_and_corresponding_cl(alpha_array, cl_array):
+ """
+ Find the maximum Alpha value, its position in the array,
+ and the corresponding Cl value at that position.
+
+ Args:
+ alpha_array (list): List of Alpha values (floats).
+ cl_array (list): List of Cl values (floats), corresponding to Alpha.
+
+ Returns:
+ dict: A dictionary containing:
+ - "Max Alpha": The maximum Alpha value.
+ - "Max Alpha Index": The index of the maximum Alpha.
+ - "Corresponding Cl": The Cl value at the maximum Alpha index.
+ """
+ if not alpha_array:
+ raise ValueError("Alpha array is empty.")
+ if len(alpha_array) != len(cl_array):
+ raise ValueError("Alpha and Cl arrays must have the same length.")
+
+ # Find the maximum Alpha value and its index
+ min_alpha = min(alpha_array)
+ min_alpha_index = alpha_array.index(min_alpha)
+
+ # Get the corresponding Cl value
+ corresponding_cl_min = cl_array[min_alpha_index]
+
+ return {
+ "Min Alpha": min_alpha,
+ "Min Alpha Index": min_alpha_index,
+ "Corresponding Cl min": corresponding_cl_min
+ }
+
+alpha_diff = max(alpha)-min(alpha) #Max Alpha as X2 and Min Alpha as X1
+#print (f"alpha gradient = {alpha_diff}")
+length = len(alpha)
+cl_max_alpha = find_max_alpha_and_corresponding_cl(alpha,cl) #as Y2
+cl_min_alpha = find_min_alpha_and_corresponding_cl(alpha,cl) #as Y1
+cl_diff = cl_max_alpha["Corresponding Cl max"] - cl_min_alpha["Corresponding Cl min"]
+#print (f"cl diff : {cl_diff}")
+
+cl_alpha = cl_diff/np.radians(alpha_diff) #the calculated gradient
+print(f"cl alpha: {cl_alpha}")
+
+cm_alpha = cl_alpha*(np.array(xac_global)/L_mu)
+
+print (f"cm alpha:{cm_alpha}")
+
+#s_m_s = -1*(np.array(xac_global)/L_mu) *100 #in percentage
+s_m_s = -1*(cm_alpha/cl_alpha) *100 #in percentage
+
+iw = 0 #simplified wing angle the same as airplane
+FF = aspect_Ratio/((cl_alpha/(2*math.pi))*np.cos(np.radians(pfeilung25))) #Formfaktor from FE1
+k0 = (0.2692*FF)-(0.03873*pow(FF,2))+(0.002951*pow(FF,3))-(0.0001106*pow(FF,4))+((1.559/1000000)*pow(FF,5)) #Polynomapproximation Konstanten from FE1
+cl_W_alpha = cl_alpha*k0*np.cos(np.radians(pfeilung25))
+print(f"cl alpha for wing : {cl_W_alpha}")
+
+cl_W = cl_0_w + (cl_W_alpha*(np.radians(np.array(alpha)+iw)))
+#print(f"cl wing: {cl_W}")
+
+#Factor for Aspect Ratio
+k_AR = (1/aspect_Ratio)-(1/(1+(aspect_Ratio**1.7)))
+
+#factor for the Tapper ratio
+k_TR = (1-(3*Tapper_Lambda))/7
+
+#HLW position factor
+z_HLW = 0.92429206 #position of HLW in z axes
+k_H = (1-np.abs(z_HLW/B_wing))/(np.sqrt((2*rh)/B_wing))
+
+de_da = 4.44*(k_AR*k_TR*k_H*np.sqrt(np.cos(np.radians(pfeilung25))))**1.19
+#(2*cl_W_alpha)/(math.pi*aspect_Ratio)
+
+print(f"de da: {de_da}")
+
+E0 = 0 #for clow =0
+
+E = np.degrees((6*np.array(cl))/(aspect_Ratio*math.pi**2))
+#(E0+(de_da*(np.radians(np.array(alpha))+iw)))
+#print (f"angle of downwash E : {E}")
+
+pfeilung50H = np.degrees(np.tan(np.radians(pfeilung25))-((4/streckungH)*(0.5-0.25)*((1-lambdaH)/(1+lambdaH))))
+print(f"pfeilung 50 HLW:{pfeilung50H}")
+cl_H_empennage_alpha = (math.pi*streckungH)/(1+np.sqrt(1+(0.25*streckungH*streckungH)*(np.tan(np.radians(pfeilung50H)**2)+1-((mach_number*mach_number)))))
+print (f"cl H empennage alpha: {cl_H_empennage_alpha}")
+
+#calculation for flap/elevator
+
+#approx. for tau
+tau_0 = 0.4
+tau_1 = 0.8
+se_sh_0 = 0.2
+se_sh_1 = 0.7
+
+
+se_sh = 0.45 #the Elevator and Empennage ratio for general Aviation with one Jet from Raymer
+teta_e_0 = -30 #maximal negative deflection for the HLW (positive is clockwise) so the flap is up
+teta_e_1 = 30 #maximal positive deflection for the HLW so the flap is down
+teta_e = np.linspace(teta_e_0, teta_e_1, length) #elevator angle as input array
+#print(f"teta e :{teta_e}")
+
+tau = ((tau_0*(se_sh_1-se_sh))+(tau_1*(se_sh-se_sh_0)))/(se_sh_1-se_sh_0)
+#print(f"tau is: {tau}")
+
+cl_teta_elevator = tau * cl_H_empennage_alpha
+#print(f"elevator cl teta: {cl_teta_elevator}")
+
+cm_teta_elevator = -1*nu*Vh*cl_teta_elevator
+cm_i_h = -1*nu*Vh*cl_H_empennage_alpha
+
+cl_H_empennage1 = ((cl-cl_W)*F_Wing)/(Fh*nu) #if the lift is only from wing and empennage
+#print(f"cl empennage :{cl_H_empennage1} ")
+
+cl_H_empennage2 = cl_0_h+ cl_H_empennage_alpha*(np.radians(np.array(alpha)-np.array(E))) + (cl_teta_elevator*(np.radians(np.array(teta_e))))
+#print(f"cl empennage :{cl_H_empennage2} ")
+
+
+
+#pressure calculation
+
+p0 = 101.325
+rho_0 = 1.225 #sealevel density
+h = 10668
+t_0 = 288.15
+r = 287.05287
+T_grad_Tropo = -0.0065
+t_h = t_0 - T_grad_Tropo*(h)
+p_h = p0*(1+((T_grad_Tropo*h)/t_0))**((-9.8/(r*T_grad_Tropo)))
+print(f"druck in altitud:{p_h}")
+v_h = mach_number*343
+cl_max_to = 1.974 #maximal take off lift
+cl_max_clean = 0.509 #maximal lift from clean con
+
+xac_c_ = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+xac_c_cry = (np.array(xac_global)/L_mu) #ratio for Xac to MAC
+cr_ca = 0.75 #flap fowler to wing chord ratio from HTML wing report f
+rho_clean = 0.28#p_h/(r*t_h)
+print(f"rho clean in h: {rho_clean}")
+ze = -2.283411255 #the Position of Engine in Z axes from reff. Koordination
+T = 0.25 * 101461.9992*2 #the Thrust for 2 Engine also after the calculation of the resistance
+Mto = 72624.87634021531 #maximal take off mass
+v_stall = np.sqrt((2*9.87*Mto)/(rho_0*cl_max_to*F_Wing))
+print(f"v stall: {v_stall}")
+v_lof = 1.15 * v_stall #the speed for lift off
+print(f"v to = {v_lof}")
+qu_TO = rho_0 * 0.5 * v_lof**2 #staudruck
+qu_clean = rho_clean * 0.5 * v_h**2
+print(f"qu to:{qu_TO}")
+print(f"qu clean:{qu_clean}")
+d_cm0_et = 0
+et = 0#flügelschrankung
+cl_000 = max(cl)
+M_clean = 53986
+cl_trim1 = (M_clean*9.8667)/(qu_clean*F_Wing)
+print(f"cl 000 and cl trim:{cl_000} and {cl_trim1}")
+
+c_m_T = ((T*ze)/(qu_clean*(F_Wing)*L_mu))
+print(f"cmt:{c_m_T}")
+
+c_m_h_empennage = nu * Vh * np.array(cl_H_empennage2)
+#print(f" cm for empennage: {c_m_h_empennage}")
+#c_m_wing = cm-c_m_h_empennage-c_m_T
+
+# Find the index where Cl is exactly 0
+index_for_cl_zero = [i for i, cl in enumerate(cl_values) if cl == 0]
+
+# Use this index to find the corresponding values
+
+cm_0 = [cm[i] for i in index_for_cl_zero] #Nullmoment from the whole Airplane
+
+#-1*((cm_alpha*np.radians(alpha))+(cm_teta_elevator*np.radians(teta_e)))
+print(f" cm0 :{cm_0}")
+
+
+xcp_c_ = (-0.25*cr_ca)+0.5
+d_cl_flap = ((2.5*cl_000)-cl_max_clean)/0.95
+d_cm = d_cl_flap * (xac_c_cry-(xcp_c_*cr_ca))
+print(f"dcm :{d_cm}")
+c_m_0_flap = cm_0 + np.array(d_cm)
+c_m_wing1 = (c_m_0_flap*((aspect_Ratio*np.cos(np.radians(pfeilung25)**2))/(aspect_Ratio+(2*np.cos(np.radians(pfeilung25)))))+(d_cm0_et)*et)
+
+print (f"q and xcp/c: {qu_clean} and {xcp_c_}")
+print(f" cmw :{c_m_wing1}")
+print(f"d cl flap: {d_cl_flap}")
+print(f"d cm: {d_cm}")
+print(f"cm0 flap: {c_m_0_flap}")
+
+
+'''Stabilitäts Berechnungen für SLW nach Aigner'''
+
+Fs = 20.16 #reference Area HLW
+Bs = 6.44 #half HLW span
+L_mu_s = 3.48 #MAC HLW
+
+streckungs = 0.2*aspect_Ratio#2.06#Aspect ratio HLW
+lambdas = 1.58*Tapper_Lambda#0.27 #tapper ratio HLW
+pfeilungs = 7+pfeilung25#33.78 #sweep quarter cord
+
+# pfe_LE_s = np.degrees(np.tan(np.radians(pfeilung25))-((4/streckungs)*(0-0.25)*((1-lambdas)/(1+lambdas))))
+# pfe_TE_s = np.degrees(np.tan(np.radians(pfe_LE_s))-((4/streckungs)*(1-0)*((1-lambdas)/(1+lambdas))))
+
+
+rs = (empennage_x+(0.25*L_mu_s))-(wing_x+(0.25*L_mu))
+Fs_f = Fs/F_Wing
+Vs = (Fs*rs)/(F_Wing*L_mu) #volume coeff. from HLW
+Li_s = (Fs)/((Bs/2)*(lambdas+1))
+La_s = lambdas*Li_s
+
+
+pfe_LE_s = np.degrees(np.atan(Li_s/Bs))
+pfe_TE_s = np.degrees(np.atan(La_s/Bs))
+
+
+print(f"Fs/f alt:{Fs_f}")
+print(f"Vs :{Vs}")
+print(f"Li s:{Li_s}")
+print(f"La s:{La_s}")
+print(f"Streckung slw :{streckungs}")
+print(f"lambda slw :{lambdas}")
+print(f"pfeilung slw :{pfeilungs}")
+print(f"pfeilung LE slw :{pfe_LE_s}")
+print(f"pfeilung TE slw :{pfe_TE_s}")
+
+
+#Seitenkraftberechnungen
+beta= -5 #in deg
+c_y_beta_wing = np.sign(np.radians(beta))*((cl_000**2)/30)*(((np.tan(np.radians(pfeilung25)))*(np.sin(np.radians(pfeilung25))))/(aspect_Ratio*(aspect_Ratio+(4*(np.cos(np.radians(pfeilung25)))))))
+print(f"Cy beta wing: {c_y_beta_wing}")
+
+zw = -1.030445071
+dfus = 3.967986828
+ki = 3*(zw/dfus)
+l1_fus = 5
+l3_fus = 37 - 31
+l2_fus = 31 - l1_fus
+v_fus = (np.pi*(dfus**2)/4)*((l1_fus/2)+(l2_fus)+(l3_fus/3))
+c_y_beta_fus = -1*ki*cl_alpha*((v_fus**(0.67))/F_Wing)
+print(f"Cy beta fus: {c_y_beta_fus}")
+
+
+# dnac = 2.224
+# ki = 3*(zw/dnac)
+# l1_nac = 3.401
+# v_nac = (np.pi/4)*dnac*dnac*l1_nac
+# c_y_beta_nac = -1*ki*cl_alpha*((v_nac**(0.67))/F_Wing)
+# print(f"Cy beta nac: {c_y_beta_nac}")
+
+# n_eng = 2
+# d_inl = 2.041357869
+# Ap = np.pi * d_inl**2
+# c_y_beta_tty = T/(qu_clean*Ap)
+# print(f"Cy beta tty: {c_y_beta_tty}")
+
+# c_y_beta = -0.86
+
+# c_y_beta_slw = c_y_beta-c_y_beta_wing-c_y_beta_fus-c_y_beta_nac-c_y_beta_tty
+# print(f"Cy beta slw: {c_y_beta_slw}")
+
+# pfeilung50S = np.degrees(np.tan(np.radians(pfeilungs))-((4/streckungs)*(0.5-0.25)*((1-lambdas)/(1+lambdas))))
+# print(f"pfeilung 50 HLW:{pfeilung50S}")
+# cl_S_empennage_alpha = (math.pi*streckungs)/(1+np.sqrt(1+(0.25*streckungs*streckungs)*(np.tan(np.radians(pfeilung50S)**2)+1-((mach_number*mach_number)))))
+# print (f"cl S empennage alpha: {cl_S_empennage_alpha}")
+
+# c_y_beta_slw = -1*cl_S_empennage_alpha
+# print(f"Cy beta slw: {c_y_beta_slw}")
+
+pfeilung50S = np.degrees(np.tan(np.radians(pfeilungs))-((4/streckungs)*(0.5-0.25)*((1-lambdas)/(1+lambdas))))
+print(f"pfeilung 50 HLW:{pfeilung50S}")
+cl_alpha_slw = (2*np.pi*aspect_Ratio)/(2+np.sqrt((aspect_Ratio**2)*(1+(np.tan(np.radians(pfeilung50S))**2)-mach_number**2))+4)
+c_y_beta_slw_1 = -1*(cl_alpha_slw)
+print(f"Cy beta slw1: {c_y_beta_slw_1}")
+
+#yaw moment derivative
+depth_fus = 2.227075627
+height_fus = 1.915417119
+c_n_beta_fus = -1.3*(v_fus/((F_Wing*B_wing)/2))*((depth_fus+height_fus)/dfus)
+#c_n_beta_fus = -2*(v_fus/(F_Wing*B_wing))
+print(f"Cn beta fus: {c_n_beta_fus}")
+
+c_n_beta_wing = (cl_000**2)*(((1/(4*np.pi*aspect_Ratio))-(np.tan(np.radians(pfeilung25))/((np.pi*aspect_Ratio)*(aspect_Ratio+(4*np.cos(np.radians(pfeilung25)))))))*(np.cos(np.radians(aspect_Ratio))-(aspect_Ratio/2)-((aspect_Ratio**2)/(8*np.cos(np.radians(pfeilung25))))+((6*min(xac_wing_abs)*np.sin(np.radians(aspect_Ratio)))/aspect_Ratio)))
+print(f"Cn beta wing: {c_n_beta_wing}")
+
+dev_da = (2*cl_alpha_slw)/(np.pi*streckungs)
+print(f"dev da: {dev_da}")
+Fs_f_ss = (c_n_beta_fus+c_n_beta_wing)/(nu*(np.array(xac_empennage_negative)/(B_wing/2))*c_y_beta_slw_1*(1-dev_da))
+print(f"fsf stability:{Fs_f_ss}")
+Fs_ss = Fs_f_ss*F_Wing
+print(f"fsf stability:{Fs_ss}")
+
+# Initialize storage for selected empennage values
+selected_values = None
+
+# Smallest positive Cn_beta initialization
+min_positive_c_n_beta = float("inf")
+
+# Iterate over each empennage area to find the smallest with positive stability
+for i in range(len(xac_empennage_negative)):
+ xac = xac_empennage_negative[i]
+
+ Fs_f_ss = (c_n_beta_fus + c_n_beta_wing) / (nu * (xac / (B_wing / 2)) * c_y_beta_slw_1 * (1 - dev_da))
+ Fs_ss = Fs_f_ss * F_Wing
+
+ # Compute geometric properties
+ Bs_neu = np.sqrt(Fs_ss * streckungs)
+ Li_s_neu = (2 * Fs_ss) / (Bs_neu * (lambdas + 1))
+ La_s_neu = lambdas * Li_s_neu
+ L_mu_s_neu = Li_s_neu * ((2 / 3) * ((1 + lambdas + lambdas ** 2) / (1 + lambdas)))
+ rs_neu = (empennage_x + (0.25 * L_mu_s_neu)) - (wing_x + (0.25 * L_mu))
+
+ # Compute volume coefficient
+ vs_neu = (Fs_ss * rs_neu) / (F_Wing * L_mu)
+
+ # Compute Cn_beta
+ c_n_beta_slw1 = 1.4 * cl_alpha_slw * Fs_f_ss * (rs_neu / B_wing)
+ c_n_beta_ = c_n_beta_slw1 + c_n_beta_fus + c_n_beta_wing
+
+ pfe_LE_s_neu = np.degrees(np.atan(Li_s_neu/Bs_neu))
+ pfe_TE_s_neu = np.degrees(np.atan(La_s_neu/Bs_neu))
+
+ # Check if stability is positive and update the selected smallest positive Cn_beta
+ if 0 < c_n_beta_ < min_positive_c_n_beta:
+ min_positive_c_n_beta = c_n_beta_
+ selected_values = {
+ "Empennage Area": Fs_ss,
+ "Bs_neu": Bs_neu,
+ "Li_s_neu": Li_s_neu,
+ "La_s_neu": La_s_neu,
+ "L_mu_s_neu": L_mu_s_neu,
+ "rs_neu": rs_neu,
+ "vs_neu": vs_neu,
+ "cn_beta_slw": c_n_beta_slw1,
+ "Cn_beta": c_n_beta_,
+ "pfe_LE_s_neu":pfe_LE_s_neu,
+ "pfe_TE_s_neu":pfe_TE_s_neu,
+ }
+
+# Output the selected values
+if selected_values:
+ print("Selected Empennage Configuration:")
+ for key, value in selected_values.items():
+ print(f"{key}: {value}")
+else:
+ print("No empennage area results in positive weathercock stability.")
+
+
+x_slw_le = np.tan(np.radians(pfe_LE_s))*Bs_neu
+
+# Coordinates of the trapezoid
+vertical_tailplane_coords = np.array([
+ [0, 0], # Root treading edge
+ [x_slw_le, Bs_neu], # Root leading edge
+ [x_slw_le+La_s_neu, Bs_neu], # Tip leading edge
+ [Li_s_neu, 0], # Tip treading edge
+ [0, 0] # Closing the shape
+])
+
+#Controlability Calculation
+#giermoment-derivativ from beta
+t_dach = -2.3
+crv_c = 0.2
+yf = 5.778110206
+r_eta_to = 20
+r_eta_ta = -25
+delta_f = T/2
+max_alpha = max(alpha)
+vs_coeff_slw =np.abs(Fs_f_ss*(min(xac_empennage_negative)/L_mu))
+
+m_ldg = 61624.78858599734
+cl_max_ldg = 2.125
+vsr1 = np.sqrt((2*9.87*m_ldg)/(rho_0*cl_max_ldg*F_Wing))
+vmcg = 1.23*vsr1
+qu_clean_sr = rho_clean * 0.5 * vsr1**2
+
+
+c_n_teta_TO = (-1*0.2*c_n_beta_)/np.radians(r_eta_to)
+print(f"cn eta TO :{c_n_teta_TO}")
+
+# c_n_beta_TO = (c_n_eta*np.radians(r_eta_to))/-0.2
+# print(f"cn beta1 :{c_n_beta_TO}")
+
+d_inl = 2.041357869
+Ap = np.pi * d_inl**2
+vnoz_v = 0.92
+c_wmj = 0.0785*((d_inl**2)/F_Wing)+((2/(1+(0.16*mach_number**2)))*(vnoz_v)*(1-vnoz_v)*(Ap/F_Wing))
+
+c_n_teta_TA = (((delta_f/(qu_clean_sr*F_Wing))*(yf/(B_wing))*(np.cos(np.radians(max_alpha))))+(c_wmj*(yf/B_wing))+(0.262*c_n_beta_))/ np.radians(r_eta_ta)
+print(f"cn eta TA :{c_n_teta_TA}")
+
+if c_n_teta_TO < c_n_teta_TA:
+ c_n_teta_critical = c_n_teta_TO
+ critical_case = "Take-off (TO)"
+else:
+ c_n_teta_critical = c_n_teta_TA
+ critical_case = "Engine Damage (TA)"
+
+print(f"Most Critical Cn eta: {c_n_teta_critical} from {critical_case}")
+
+# Iterating over different Crv_C values until c_n_eta1 matches the critical Cn_eta
+crv_c = ((-1*(c_n_teta_critical/c_n_beta_slw1))-0.136)/1.27
+print(f"ruder verhhaeltnis:{crv_c}")
+
+# c_n_beta_TA = ((c_n_eta*np.radians(r_eta_ta))-((delta_f/(qu_clean_sr*F_Wing))*(yf/(B_wing))*(np.cos(np.radians(max_alpha))))-(c_wmj*(yf/B_wing)))/0.262
+# print(f"c wmj :{c_wmj}")
+# print(f"cn beta :{c_n_beta_TA}")
+
+#geometrie of the Elevator\
+Li_ruder = crv_c*Li_s_neu
+La_ruder = crv_c*La_s_neu
+L_mu_slw = crv_c*L_mu_s_neu
+b_ruder = 0.8*Bs_neu#(np.sqrt(f_elevator*streckungH))/2
+f_ruder= (Li_ruder*(Bs_neu*(1+lambdas))/2)
+y_ruder_le = np.tan(np.radians(pfe_LE))*b_ruder
+y_TE_r = Li_s_neu+((b_ruder*((x_slw_le+La_s_neu)-Li_s_neu))/Bs_neu)
+y_ruder_pos_1 = 0.1 * Bs_neu
+y_ruder_pos_2 = y_ruder_pos_1 + b_ruder
+
+x_ruder_pos_1 =(x_slw_le+La_s_neu)-((np.tan(np.radians(pfe_TE_s_neu)))*(Bs_neu-y_ruder_pos_1))
+x_ruder_pos_2 = (x_slw_le+La_s_neu)-((np.tan(np.radians(pfe_TE_s_neu)))*(Bs_neu-y_ruder_pos_2))
+#((y_ruder_pos_2*((x_slw_le+La_s_neu)-Li_s_neu))/Bs_neu)+(x_slw_le+La_s_neu)
+#((Li_s_neu*(Bs_neu-b_ruder))+((x_slw_le+La_s_neu)*(b_ruder-0)))/(Bs_neu-0)
+
+print(f"Li ruder new:{Li_ruder}")
+print(f"La ruder new:{La_ruder}")
+print(f"F und B ruder:{f_ruder} and {b_ruder}")
+print(f"x1 und x2 ruder :{x_ruder_pos_1} und {x_ruder_pos_2}")
+
+ruder_coords = np.array([
+ [x_ruder_pos_1, y_ruder_pos_1], # Root treading edge
+ [(x_ruder_pos_1-Li_ruder), y_ruder_pos_1], # Root leading edge
+ [(x_ruder_pos_2-La_ruder), y_ruder_pos_2 ], # Tip leading edge
+ [x_ruder_pos_2,y_ruder_pos_2 ], # Tip treading edge
+ [x_ruder_pos_1,y_ruder_pos_1 ] # Closing the shape
+])
+
+#Spar Geometry
+front_spar_x_prznt = 0.2
+rear_spar_x_prnznt = 0.6
+
+front_spar_x_1 = (front_spar_x_prznt * Li_s_neu)
+front_spar_x_2 = (front_spar_x_prznt * La_s_neu) + x_slw_le
+
+rear_spar_x_1 = (rear_spar_x_prnznt * Li_s_neu)
+rear_spar_x_2 = (rear_spar_x_prnznt * La_s_neu) + x_slw_le
+
+spars_front_coords = np.array([
+ [front_spar_x_1,0 ],
+ [front_spar_x_2, Bs_neu ],
+ ])
+
+spars_rear_coords = np.array([
+ [rear_spar_x_1,0 ],
+ [rear_spar_x_2, Bs_neu ],
+ ])
+
+# Plotting the geometry
+plt.figure(figsize=(10, 5))
+plt.plot(vertical_tailplane_coords[:, 0], vertical_tailplane_coords[:, 1], color= 'blue',linestyle= '-')
+plt.plot(ruder_coords[:, 0], ruder_coords[:, 1],color= 'red',linestyle= '-')
+plt.plot(spars_front_coords[:, 0], spars_front_coords[:, 1],color= 'black',linestyle= '--')
+plt.plot(spars_rear_coords[:, 0], spars_rear_coords[:, 1],color= 'black',linestyle= '--')
+plt.fill(vertical_tailplane_coords[:, 0], vertical_tailplane_coords[:, 1], alpha=0.3)
+
+# Labels and grid
+plt.title("Tailplane Geometry")
+plt.xlabel("Chord Length")
+plt.ylabel("Spanwise Distance")
+plt.grid(True)
+plt.axis('equal')
+
+plt.show()
+
+'''Steuerbarkeits Berechnungen für SLW nach Engelbrecht'''
+
+# ne_nd = 1.25*delta_f
+# print(f"ne nd = {ne_nd}")
+# cl_teta_clteta_teori = 0.85
+# clteta_teori = cl_teta_elevator/cl_teta_clteta_teori
+# k_strich = 0.8
+# k_streckung = (1-(0.08*(np.cos(np.radians(pfeilung25))**2)))*(np.cos(np.radians(pfeilung25))**0.75)
+# print(f"k streckung:{k_streckung}")
+# Fs_f_cry = (ne_nd)/(qu_TO*np.radians(r_eta_to)*cl_teta_clteta_teori*clteta_teori*k_strich*k_streckung*np.abs(np.array(xac_empennage_negative)))
+# print(f"fsf controlability:{Fs_f_cry}")
+# Fs_cry = Fs_f_cry*F_Wing
+# print(f"fsf stability:{Fs_cry}")
+
+# vnoz_v = 0.92
+# c_wmj = 0.0785*((d_inl**2)/F_Wing)+((2/(1+(0.16*mach_number**2)))*(vnoz_v)*(1-vnoz_v)*(Ap/F_Wing))
+# c_n_beta = ((c_n_eta*np.radians(r_eta_max))-((delta_f/(qu_clean_sr*F_Wing))*(yf/(B_wing))*(np.cos(np.radians(max_alpha))))-(c_wmj*(yf/B_wing)))/0.262
+# print(f"c wmj :{c_wmj}")
+# print(f"cn beta :{c_n_beta}")
+
+# w_wing = 6782.167496
+# c_n_beta_1 = 0.0005*np.sqrt(w_wing/B_wing**2)
+# print(f"cn beta1 :{c_n_beta_1}")
+
+# c_n_eta1 =-1*((1.27*crv_c)+0.136)*0.85
+# print(f"Cn eta : {c_n_eta1}")
+
+# Fs_f_cry = (c_n_eta_v/(2.3*((crv_c**0.47)+0.08)*(np.array(xac_empennage_negative)/L_mu)))
+# print(f"fsf controlability:{Fs_f_cry}")
+# Fs_cry = Fs_f_cry*F_Wing
+# print(f"fsf stability:{Fs_cry}")
+
+#Fs_f_cry_1 = (T/2)/(qu_TO*)
\ No newline at end of file
diff --git a/EMPBA01/src/tube_and_wing/conventional/methodelevator.py b/EMPBA01/src/tube_and_wing/conventional/methodelevator.py
new file mode 100644
index 0000000000000000000000000000000000000000..315ed8c1d6eed85552c73668788f91bb88d51565
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/conventional/methodelevator.py
@@ -0,0 +1,35 @@
+import sys
+import pandas as pd
+import math
+import csv
+import numpy as np
+import copy
+import matplotlib.pyplot as plt
+import json
+from scipy.interpolate import interp1d
+from scipy.optimize import fsolve
+import pyaircraftgeometry2 as geom2
+import os
+import pickle
+# import pyaixml as aixml
+
+import xml.etree.ElementTree as ET
+
+
+# Loading the saved results
+with open('results.pkl', 'rb') as file:
+ loaded_results = pickle.load(file)
+
+# Accessing the results
+Bh_neu = loaded_results['Bh_neu']
+Li_h_neu = loaded_results['Li_h_neu']
+La_h_neu = loaded_results['La_h_neu']
+y_hlw_le = loaded_results['y_hlw_le']
+y_hlw_te = loaded_results['y_hlw_te']
+
+# Example usage
+print(f"Bh_neu: {Bh_neu}")
+print(f"Li_h_neu: {Li_h_neu}")
+print(f"La_h_neu: {La_h_neu}")
+print(f"y_hlw_le: {y_hlw_le}")
+print(f"y_hlw_te: {y_hlw_te}")
\ No newline at end of file
diff --git a/EMPBA01/src/tube_and_wing/datapreproc.py b/EMPBA01/src/tube_and_wing/datapreproc.py
new file mode 100644
index 0000000000000000000000000000000000000000..40995300b34a87a332fc69e86c37445e18532623
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/datapreproc.py
@@ -0,0 +1,486 @@
+import sys
+import pandas as pd
+import math
+import csv
+import numpy as np
+import copy
+import matplotlib.pyplot as plt
+import json
+from scipy.interpolate import interp1d
+from scipy.optimize import fsolve
+import pyaircraftgeometry2 as geom2
+import os
+import pickle
+import pyaixml as aixml
+
+import xml.etree.ElementTree as ET
+
+
+"""Volume coeff calculation"""
+
+"""xml read function"""
+# Load the XML file
+aircraft_xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\CSMR-2020.xml"
+
+try:
+ tree_aircraft = ET.parse(aircraft_xml_file)
+ root_aircraft = tree_aircraft.getroot()
+ print(f"Root tag: {root_aircraft.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+def extract_x_value(mass_element):
+ try:
+ x_element = mass_element.find(".//x/value")
+ if x_element is not None:
+ return float(x_element.text) # Convert the value to a float
+ else:
+ print(f"No x value found in {mass_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting x value: {e}")
+ return None
+
+def extract_y_value(mass_element):
+ try:
+ y_element = mass_element.find(".//y/value")
+ if y_element is not None:
+ return float(y_element.text) # Convert the value to a float
+ else:
+ print(f"No y value found in {mass_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting y value: {e}")
+ return None
+
+def extract_z_value(mass_element):
+ try:
+ z_element = mass_element.find(".//z/value")
+ if z_element is not None:
+ return float(z_element.text) # Convert the value to a float
+ else:
+ print(f"No z value found in {mass_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting z value: {e}")
+ return None
+
+# Extract x values for both masses
+most_forward_mass = root_aircraft.find(".//most_forward_mass")
+most_afterward_mass = root_aircraft.find(".//most_afterward_mass")
+
+if most_forward_mass is not None:
+ forward_x = extract_x_value(most_forward_mass)
+ print(f"Most Forward Mass x-value: {forward_x}")
+else:
+ print("most_forward_mass element not found.")
+
+if most_afterward_mass is not None:
+ afterward_x = extract_x_value(most_afterward_mass)
+ print(f"Most Afterward Mass x-value: {afterward_x}")
+else:
+ print("most_afterward_mass element not found.")
+
+
+# Function to extract and assign mass values to variables
+def extract_mass_values_and_assign(root):
+ # Create a dictionary to hold the mass values by description
+ mass_values = {}
+
+ # Initialize variables for each mass type
+ maximum_takeoff_mass = None
+ operating_mass_empty = None
+ manufacturer_mass_empty = None
+ maximum_zero_fuel_mass = None
+ maximum_payload_mass = None
+ maximum_landing_mass = None
+ maximum_fuel_mass = None
+ ferry_range_mass = None
+
+ # Iterate through all <mass_properties> elements
+ for mass_tag in root.findall('.//masses_cg_inertia//'):
+ description = mass_tag.attrib.get('description')
+ #print(f"Found description: {description}") # Debugging print to check the descriptions
+
+ # Find the mass value associated with this description
+ mass_value_tag = mass_tag.find('.//mass')
+ if mass_value_tag is not None:
+ value_tag = mass_value_tag.find('value')
+ if value_tag is not None:
+ value = value_tag.text
+ #print(f"Found value: {value}") # Debugging print to check the value
+
+ # Assign value to the appropriate variable based on description
+ if description == 'MTOM':
+ maximum_takeoff_mass = value
+ elif description == 'OME':
+ operating_mass_empty = value
+ elif description == 'MME':
+ manufacturer_mass_empty = value
+ elif description == 'MZFM':
+ maximum_zero_fuel_mass = value
+ elif description == 'MPM':
+ maximum_payload_mass = value
+ elif description == 'MLM':
+ maximum_landing_mass = value
+ elif description == 'MFM':
+ maximum_fuel_mass = value
+ elif description == 'FR':
+ ferry_range_mass = value
+
+ # Optionally store it in the dictionary as well
+ mass_values[description] = value
+
+
+ # Return the extracted values as variables
+ return maximum_takeoff_mass,operating_mass_empty, manufacturer_mass_empty, maximum_zero_fuel_mass, \
+ maximum_payload_mass, maximum_landing_mass, maximum_fuel_mass, ferry_range_mass
+
+# Call the function and unpack the results into individual variables
+maximum_takeoff_mass,operating_mass_empty, manufacturer_mass_empty, maximum_zero_fuel_mass, \
+maximum_payload_mass, maximum_landing_mass, maximum_fuel_mass, ferry_range_mass = extract_mass_values_and_assign(root_aircraft)
+
+# Print out the extracted values for verification
+print(f'maximum takeoff mass: {maximum_takeoff_mass}')
+print(f'Operating Mass Empty: {operating_mass_empty}')
+print(f'Manufacturer Mass Empty: {manufacturer_mass_empty}')
+print(f'Maximum Zero Fuel Mass: {maximum_zero_fuel_mass}')
+print(f'Maximum Payload Mass: {maximum_payload_mass}')
+print(f'Maximum Landing Mass: {maximum_landing_mass}')
+print(f'Maximum Fuel Mass: {maximum_fuel_mass}')
+print(f'Ferry Range Mass: {ferry_range_mass}')
+
+#extract x values pos for fuselage, wing, and empennage
+wing_pos = root_aircraft.find("component_design/wing/position")
+fuselage_pos = root_aircraft.find("component_design/fuselage/position")
+empennage_pos = root_aircraft.find("component_design/empennage/position")
+engine_pos = root_aircraft.find("component_design/propulsion/specific/propulsion/engine/position")
+landing_gear_cg_pos = root_aircraft.find("component_design/landing_gear/mass_properties/center_of_gravity")
+
+if wing_pos is not None:
+ wing_x = extract_x_value(wing_pos)
+ print(f"wing pos. x-value: {wing_x}")
+ wing_y = extract_y_value(wing_pos)
+ print(f"wing pos. y-value: {wing_y}")
+ wing_z = extract_z_value(wing_pos)
+ print(f"wing pos. z-value: {wing_z}")
+else:
+ print("wing pos x-value element not found.")
+
+if fuselage_pos is not None:
+ fuselage_x = extract_x_value(fuselage_pos)
+ print(f"fuselage pos x-value: {fuselage_x}")
+else:
+ print("fuselage pos x-value element not found.")
+
+if empennage_pos is not None:
+ empennage_x = extract_x_value(empennage_pos)
+ print(f"empennage pos x-value: {empennage_x}")
+ empennage_y = extract_y_value(empennage_pos)
+ print(f"empennage pos y-value: {empennage_y}")
+ empennage_z = extract_z_value(empennage_pos)
+ print(f"empennage pos z-value: {empennage_z}")
+else:
+ print("empennage pos x-value element not found.")
+
+if engine_pos is not None:
+ engine_x = extract_x_value(engine_pos)
+ print(f"engine pos x-value: {engine_x}")
+ engine_y = extract_y_value(engine_pos)
+ print(f"engine pos y-value: {engine_y}")
+ engine_z = extract_z_value(engine_pos)
+ print(f"engine pos z-value: {engine_z}")
+else:
+ print("empennage pos x-value element not found.")
+
+if landing_gear_cg_pos is not None:
+ landing_gear_cg_x = extract_x_value(landing_gear_cg_pos)
+ print(f"landing_gear_cg pos x-value: {landing_gear_cg_x}")
+ landing_gear_cg_y = extract_y_value(landing_gear_cg_pos)
+ print(f"landing_gear_cg pos y-value: {landing_gear_cg_y}")
+ landing_gear_cg_z = extract_z_value(landing_gear_cg_pos)
+ print(f"landing_gear_cg pos z-value: {landing_gear_cg_z}")
+else:
+ print("landing_gear_cg pos x-value element not found.")
+
+#extract values for variables.
+def extract_ref_value(ref_element):
+ try:
+ ref_element = ref_element.find(".//value")
+ if ref_element is not None:
+ return float(ref_element.text) # Convert the value to a float
+ else:
+ print(f"No ref value found in {ref_element.tag}")
+ return None
+ except Exception as e:
+ print(f"Error extracting ref value: {e}")
+ return None
+
+ref_value_wing_span = root_aircraft.find("analysis/aerodynamics/reference_values/b")
+ref_value_wing_mac = root_aircraft.find("analysis/aerodynamics/reference_values/MAC")
+ref_value_wing_area = root_aircraft.find("analysis/aerodynamics/reference_values/S_ref")
+ref_value_neutral_point = root_aircraft.find("analysis/aerodynamics/reference_values/neutral_point")
+ref_engine_thrust = root_aircraft.find("component_design/propulsion/specific/propulsion/engine/SLST")
+ref_landing_gear_inertia_jyy = ("component_design/landing_gear/mass_properties/inertia/j_yy")
+
+if ref_value_wing_span is not None:
+ B_wing = extract_ref_value(ref_value_wing_span)
+ print(f"wing span ref-value: {B_wing}")
+else:
+ print("wing span element not found.")
+
+if ref_value_wing_mac is not None:
+ L_mu = extract_ref_value(ref_value_wing_mac)
+ print(f"wing MAC ref-value: {L_mu}")
+else:
+ print("wing MAC element not found.")
+
+if ref_value_wing_area is not None:
+ F_Wing = extract_ref_value(ref_value_wing_area)
+ print(f"wing area ref-value: {F_Wing}")
+else:
+ print("wing area element not found.")
+
+if ref_value_neutral_point is not None:
+ AC_global = extract_x_value(ref_value_neutral_point)
+ print(f"global neutral point x-value: {AC_global}")
+else:
+ print("global neutral point not found.")
+
+if ref_engine_thrust is not None:
+ engine_thrust = extract_ref_value(ref_engine_thrust)
+ print(f"engine Thrust: {engine_thrust}")
+else:
+ print("global neutral point not found.")
+
+if ref_landing_gear_inertia_jyy is not None:
+ landing_gear_inertia_jyy = extract_ref_value(ref_landing_gear_inertia_jyy)
+ print(f"landing_gear_inertia_jyy: {landing_gear_inertia_jyy}")
+else:
+ print("global neutral point not found.")
+
+def read_wing(paths):
+
+ acxml = aixml.openDocument(paths)
+ airfoil_data_dir = f'C:/Users/FZN pc/UNICADO/aircraft-design/projects/geometry_data/airfoil_data'
+
+ return geom2.factory.WingFactory(acxml, airfoil_data_dir).create("wing/specific/geometry/aerodynamic_surface@0")
+
+
+def read_fuselage(paths):
+ acxml = aixml.openDocument(paths)
+ geometry_data_dir = f'C:/Users/FZN pc/UNICADO/aircraft-design/projects/geometry_data'
+ return geom2.factory.FuselageFactory(acxml, geometry_data_dir).create("fuselage/specific/geometry/fuselage@0")
+
+def read_nacelle(paths):
+ acxml = aixml.openDocument(paths)
+ geometry_data_dir = f'C:/Users/FZN pc/UNICADO/aircraft-references/CSMR/CSMR-2020/clean_sheet_design/geometryData'
+ return geom2.factory.HullFactory(acxml, geometry_data_dir).create("propulsion/specific/propulsion@0/nacelle@0")
+
+def read_hlw(paths):
+
+ acxml = aixml.openDocument(paths)
+ airfoil_data_dir = f'C:/Users/FZN pc/UNICADO/aircraft-design/projects/geometry_data/NACA'
+
+ return geom2.factory.WingFactory(acxml, airfoil_data_dir).create("empennage/specific/geometry/aerodynamic_surface@1")
+
+def read_slw(paths):
+
+ acxml = aixml.openDocument(paths)
+ airfoil_data_dir = f'C:/Users/FZN pc/UNICADO/aircraft-design/projects/geometry_data/NACA'
+
+ return geom2.factory.WingFactory(acxml, airfoil_data_dir).create("empennage/specific/geometry/aerodynamic_surface@0")
+
+#Read fuselage and wing
+wing = read_wing(aircraft_xml_file)
+fuselage = read_fuselage(aircraft_xml_file)
+hlw = read_hlw(aircraft_xml_file)
+slw = read_slw(aircraft_xml_file)
+nacelle = read_nacelle(aircraft_xml_file)
+fuselage_length = geom2.measure.length(fuselage)
+wing_span = geom2.measure.span(wing)
+wing_MAC = geom2.measure.mean_aerodynamic_chord(wing)
+
+#wing and empennage from report
+
+B_wing = wing_span #half Wing span
+L_mu = wing_MAC #MAC Wing
+F_Wing = geom2.measure.reference_area(wing) #reference Area Wing
+aspect_Ratio = geom2.measure.aspect_ratio(wing) #Aspect ratio HLW
+Tapper_Lambda = geom2.measure.chord(wing,(B_wing/2))/geom2.measure.chord(wing,0.0)#geom2.measure.taper_ratio(wing) #tapper ratio HLW
+pfeilung25 = -1*np.degrees(geom2.measure.sweep(wing,8,0.25))#27#sweep quarter cord
+
+Fh = geom2.measure.reference_area(hlw)#23.41 #reference Area HLW
+Bh = geom2.measure.span(hlw)#11.31 #half HLW span
+L_mu_h = geom2.measure.mean_aerodynamic_chord(hlw) #MAC HLW
+pfe_LE = -1*np.degrees(geom2.measure.sweep(hlw,0.0,0.0))
+pfe_TE = -1*np.degrees(geom2.measure.sweep(hlw,0.0,1.0))
+pfeilungH = -1*np.degrees(geom2.measure.sweep(hlw,0.0,0.25))
+streckungH = geom2.measure.aspect_ratio(hlw)#5.46 #Aspect ratio HLW
+lambdaH =geom2.measure.chord(hlw,(Bh/2))/geom2.measure.chord(hlw,0.0) #tapper ratio HLW
+rh = (empennage_x+(0.25*L_mu_h))-(wing_x+(0.25*L_mu))
+Fh_f = Fh/F_Wing
+Vh = (Fh*rh)/(F_Wing*L_mu) #volume coeff. from HLW
+Li_h = geom2.measure.chord(hlw,0.0)#(Fh)/((Bh/2)*(lambdaH+1))
+La_h = geom2.measure.chord(hlw,(Bh/2))#lambdaH*Li_h
+
+Fs = geom2.measure.reference_area(slw)#20.16 #reference Area HLW
+Bs = geom2.measure.span(slw)#6.44 #half HLW span
+L_mu_s = geom2.measure.mean_aerodynamic_chord(slw) #MAC HLW
+pfe_LE_s = -1*np.degrees(geom2.measure.sweep(slw,0.0,0.0))#39
+pfe_TE_s = -1*np.degrees(geom2.measure.sweep(slw,0.0,1.0))
+streckungs = geom2.measure.aspect_ratio(slw)#2.06#Aspect ratio HLW
+lambdas = geom2.measure.chord(slw,(-Bs))/geom2.measure.chord(slw,0.0)#0.27 #tapper ratio HLW
+pfeilungs = -1*np.degrees(geom2.measure.sweep(slw,0.0,0.25))#33.78 #sweep quarter cord
+rs = (empennage_x+(0.25*L_mu_s))-(wing_x+(0.25*L_mu))
+Fs_f = Fs/F_Wing
+Vs = (Fs*rs)/(F_Wing*L_mu) #volume coeff. from HLW
+Li_s = geom2.measure.chord(slw,0.0)#(Fs)/((Bs/2)*(lambdas+1))
+La_s = geom2.measure.chord(slw,-Bs)#lambdas*Li_s
+
+print(f"span wing:{B_wing}")
+print(f"L_mu:{L_mu}")
+print(f"F WIng:{F_Wing}")
+print(f"AR Wing:{aspect_Ratio}")
+print(f"lambda Wing:{Tapper_Lambda}")
+print(f"Pfeilung25 Wing:{pfeilung25}")
+
+print(f"streckungH:{streckungH}")
+print(f"lambdaH:{lambdaH}")
+print(f"Pfeilung25 hlw:{pfeilungH}")
+print(f"FH/f alt:{Fh_f}")
+print(f"Vh :{Vh}")
+print(f"Li h:{Li_h}")
+print(f"La h:{La_h}")
+print(f"PfeilungLE hlw:{pfe_LE}")
+print(f"PfeilungTE hlw:{pfe_TE}")
+
+print(f"streckungS:{streckungs}")
+print(f"lambdaS:{lambdas}")
+print(f"Pfeilung25 slw:{pfeilungs}")
+print(f"Fs/f alt:{Fs_f}")
+print(f"Vs :{Vs}")
+print(f"Li s:{Li_s}")
+print(f"La s:{La_s}")
+print(f"PfeilungLE slw:{pfe_LE_s}")
+print(f"PfeilungTE slw:{pfe_TE_s}")
+# Output results
+print(f"rh: {rh}")
+print(f"Fh: {Fh}")
+print(f"Bh: {Bh}")
+print(f"rs: {rs}")
+print(f"Fs: {Fs}")
+print(f"Bs: {Bs}")
+
+#Fuselage geom.
+lange_rumpf = geom2.measure.length(fuselage)
+width_rumpf = geom2.measure.width(fuselage,wing_x)
+height_rumpf = geom2.measure.height(fuselage,wing_x)
+volume_rumpf = -1*geom2.measure.volume(fuselage)
+
+
+print(f"fuselage length:{fuselage_length}")
+print(f"fuselage width:{width_rumpf}")
+print(f"fuselage height:{height_rumpf}")
+print(f"fuselage volume:{volume_rumpf}")
+
+#Nacelle geom.
+lange_nacelle = geom2.measure.length(nacelle)
+d_nacelle = geom2.measure.width(nacelle,lange_nacelle/2)
+
+print(f"nacelle length:{lange_nacelle}")
+print(f"nacelle width:{d_nacelle}")
+
+"""Aerodynamic Calculation"""
+# Path to the XML file
+xml_file = r"C:\Users\FZN pc\UNICADO\aircraft-design\projects\SMR-2020_design_trimmed_polar.xml"
+
+try:
+ tree = ET.parse(xml_file)
+ root = tree.getroot()
+ print(f"Root tag: {root.tag}") # Should be 'configurations'
+except Exception as e:
+ print(f"Error parsing XML file: {e}")
+ exit()
+
+# Dictionary to store configurations and their polar data
+configurations_data = {}
+
+# Iterate over all configurations
+configurations = root.findall("configurations/configuration")
+if not configurations:
+ print("No configurations found.")
+else:
+ for configuration in configurations:
+ config_id = configuration.get("ID", "No ID")
+ name = configuration.find("name").text if configuration.find("name") is not None else "No name"
+ comment = configuration.find("comment").text if configuration.find("comment") is not None else "No comment"
+
+ # Initialize storage for polars under this configuration
+ polars_data = []
+
+ # Extract polars for this configuration
+ polars = configuration.find("polars")
+ if polars is not None:
+ for polar in polars.findall("polar"):
+ polar_data = {
+ "ID": polar.get("ID", "No ID"),
+ "ExtrapolationMargin": polar.get("ExtrapolationMargin", "No ExtrapolationMargin"),
+ "AllowGridChange": polar.get("AllowGridChange", "No AllowGridChange"),
+ "ReynoldsNumber": polar.find("reynoldsnumber").text if polar.find("reynoldsnumber") is not None else "No reynoldsnumber",
+ "Altitude": polar.find("altitude").text if polar.find("altitude") is not None else "No altitude",
+ "MachNumber": None, # Default to None for invalid or missing values
+ "Alpha": [],
+ "Cl": [],
+ "Cm":[],
+ "iStab_polar": []
+ }
+
+ # Parse Mach Number and convert to float if valid
+ mach_number_text = polar.find("machnumber").text if polar.find("machnumber") is not None else "No machnumber"
+ try:
+ polar_data["MachNumber"] = float(mach_number_text) if mach_number_text != "No machnumber" else None
+ except ValueError:
+ print(f"Error converting Mach Number to float: {mach_number_text}")
+
+ # Parse Alpha values
+ alpha_text = polar.find("Alpha").text if polar.find("Alpha") is not None else "No Alpha"
+ if alpha_text != "No Alpha":
+ try:
+ polar_data["Alpha"] = [float(value) for value in alpha_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Alpha values to floats: {alpha_text}")
+
+ # Parse Cl values
+ cl_text = polar.find("Cl").text if polar.find("Cl") is not None else "No Cl"
+ if cl_text != "No Cl":
+ try:
+ polar_data["Cl"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cl values to floats: {cl_text}")
+ cm_text = polar.find("Cm").text if polar.find("Cm") is not None else "No Cm"
+ if cm_text != "No Cm":
+ try:
+ polar_data["Cm"] = [float(value) for value in cl_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting Cm values to floats: {cm_text}")
+
+ # Parse iStab_polar values
+ istab_polar_text = polar.find("iStab_polar").text if polar.find("iStab_polar") is not None else "No iStab_polar"
+ if istab_polar_text != "No iStab_polar":
+ try:
+ polar_data["iStab_polar"] = [float(value) for value in istab_polar_text.split(";") if value.strip()]
+ except ValueError:
+ print(f"Error converting iStab_polar values to floats: {istab_polar_text}")
+
+ # Append the parsed polar data to the list for this configuration
+ polars_data.append(polar_data)
+
+ # Store the data for this configuration
+ configurations_data[config_id] = {
+ "Name": name,
+ "Comment": comment,
+ "Polars": polars_data
+ }
+
\ No newline at end of file
diff --git a/EMPBA01/src/tube_and_wing/general/methodhtmlreport.py b/EMPBA01/src/tube_and_wing/general/methodhtmlreport.py
new file mode 100644
index 0000000000000000000000000000000000000000..bf6c2e3605c6b3f032f8a17d57c1c73953006378
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/general/methodhtmlreport.py
@@ -0,0 +1,362 @@
+"""Module providing report functionalities for current calculation method."""
+from yattag import Doc
+from bs4 import BeautifulSoup
+import re
+
+
+def method_html_report(paths_and_names, routing_dict, data_dict, method_specific_output_dict, runtime_output):
+ """Report function.
+
+ This function is responsible for creating reports.
+ [Add further information here...]
+
+ :param dict paths_and_names: Dictionary containing system paths and ElementTrees
+ :param dict routing_dict: Dictionary containing routing parameter
+ :param dict data_dict: Dictionary containing results of module execution
+ :return: None
+ """
+
+ # This is just a dummy code snippet. Insert your code here.
+ tool_name = paths_and_names['tool_name']
+ report_title = camelcase_to_string(tool_name)
+ project_name = paths_and_names['name_of_project']
+
+ runtime_output.print(f'Creating {tool_name} report')
+
+ doc, tag, text = generate_report_header(
+ report_title, project_name=project_name)
+
+ # general aircraft masses
+ aircraft_general_masses = [
+ ("Manufacturer Mass Empty", "MME",
+ data_dict["manufacturer_mass_empty"].mass),
+ ("Operating Mass Empty", "OME",
+ data_dict["operating_mass_empty"].mass),
+ ("Maximum Takeoff Mass", "MTOM",
+ data_dict["maximum_takeoff_mass"].mass),
+ ("Maximum Zero Fuel Mass", "MZFM",
+ data_dict["maximum_zero_fuel_mass"].mass),
+ ("Maximum Payload Mass", "-", data_dict["maximum_payload_mass"].mass),
+ ("Maximum Fuel mass", "-", data_dict["maximum_fuel_mass"].mass),
+ ("Mass at most forward CG", "-", data_dict["most_forward_mass"].mass),
+ ("Mass at most afterward CG", "-",
+ data_dict["most_afterward_mass"].mass)
+ ]
+
+ aircraft_design_masses = [
+ ("Maximum Takeoff Mass", "MTOM",
+ data_dict["maximum_takeoff_mass"].mass),
+ ("Maximum Landing Mass", "MLM",
+ data_dict["maximum_landing_mass"].mass),
+ ("Design Payload Mass", "-", data_dict["design_payload_mass"].mass),
+ ("Design Fuel Mass Takeoff", "-",
+ data_dict["design_fuel_mass_takeoff"].mass),
+ ("Design Fuel Mass Midflight", "-",
+ data_dict["design_fuel_mass_midflight"].mass),
+ ("Design Fuel Mass Minimum Landing", "-",
+ data_dict["design_fuel_mass_minimum_landing"].mass),
+ ]
+
+ aircraft_group_masses = []
+ ome = data_dict["operating_mass_empty"].mass
+ mtom = data_dict["maximum_takeoff_mass"].mass
+ for key, mass in data_dict["group_masses"].items():
+ name = key.replace("_", " ").title()
+ aircraft_group_masses.append(
+ (name, mass, mass / ome * 100.0, mass / mtom * 100.0))
+
+ aircraft_structure_masses = []
+ for key, mass in data_dict["structure_components"].items():
+ name = key.replace("_", " ").title()
+ aircraft_structure_masses.append(
+ (name, mass, mass / ome * 100.0, mass / mtom * 100.0))
+
+ aircraft_propulsion_masses = []
+ nacelles = data_dict["Nacelles"]
+ name = "Nacelles"
+ mass = sum([nacelle.mass for nacelle in nacelles if nacelle is not None])
+ aircraft_propulsion_masses.append(
+ (name, mass, mass / ome * 100.0, mass / mtom * 100.0))
+
+ engines = data_dict["Engines"]
+ mass = sum([engine.mass for engine in engines if engine is not None])
+ name = "Engines"
+ aircraft_propulsion_masses.append(
+ (name, mass, mass / ome * 100.0, mass / mtom * 100.0))
+
+ def format_variable_name(var_name):
+ # Replace underscores with spaces
+ formatted_name = var_name.replace('_', ' ')
+ formatted_name = formatted_name.replace('mass', ' ')
+ # Capitalize the first letter of each word
+ formatted_name = formatted_name.title()
+ return formatted_name
+
+ aircraft_systems_masses = []
+ for item in data_dict["Systems"]:
+ name = format_variable_name(item['name'])
+ mass = item['mass']
+ aircraft_systems_masses.append(
+ (name, mass, mass / ome * 100.0, mass / mtom * 100.0))
+
+ aircraft_furnishing_masses = []
+ for item in data_dict["Furnishings"]:
+ name = format_variable_name(item.name)
+ aircraft_furnishing_masses.append(
+ (name, item.mass, item.mass / ome * 100.0, item.mass / mtom * 100.0))
+
+ aircraft_operator_masses = []
+ for item in data_dict["Operator_items"]:
+ name = format_variable_name(item.name)
+ aircraft_operator_masses.append(
+ (name, item.mass, item.mass / ome * 100.0, item.mass / mtom * 100.0))
+
+ # Start generation
+ with tag('body'):
+ # First div - table aircraft general masses
+ with tag('div', klass="logo"):
+ text("")
+
+ with tag('div', klass="content"):
+ with tag('h1'):
+ text(f"Report - {report_title} of {project_name}")
+ with tag('div', klass="container"):
+ with tag('div', klass="box data"):
+ with tag('h2'):
+ text("Data")
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text("Aircraft General Masses")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Description", "Acronym", "Mass [kg]"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_general_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.0f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+ else:
+ text('N.A.')
+ # Second div - table aircraft design masses
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text("Aircraft Design Masses")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Description", "Acronym", "Mass [kg]"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_design_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.0f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+ else:
+ text('N.A.')
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text("Operating Empty Mass Breakdown")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Group", "Mass [kg]", "% of OME", "% of MTOM"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_group_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.1f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text(" Structure Group Mass Breakdown")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Component", "Mass [kg]", "% of OME", "% of MTOM"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_structure_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.1f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text(" Propulsion Group Mass Breakdown")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Component", "Mass [kg]", "% of OME", "% of MTOM"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_propulsion_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.1f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text(" Systems Mass Breakdown")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Component", "Mass [kg]", "% of OME", "% of MTOM"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_systems_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.1f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text(" Furnishings Mass Breakdown")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Component", "Mass [kg]", "% of OME", "% of MTOM"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_furnishing_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.1f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+
+ with tag('table', klass="content-table"):
+ with tag('caption'):
+ text(" Operator Items Mass Breakdown")
+ with tag('thead'):
+ with tag('tr'):
+ for col in ["Component", "Mass [kg]", "% of OME", "% of MTOM"]:
+ with tag('th'):
+ text(f"{col}")
+ with tag('tbody'):
+ for row in aircraft_operator_masses:
+ with tag('tr'):
+ for col in row:
+ if isinstance(col, (float, int)) or col is None:
+ with tag('td', klass="content-data-number"):
+ if col is None:
+ text('N.A.')
+ else:
+ text(f"{col:.1f}")
+ else:
+ with tag('td'):
+ if isinstance(col, str):
+ text(col)
+
+ with tag('div', klass="box plot"):
+ with tag('h2'):
+ text("Plot")
+ with tag('img', src="../plots/aircraft_group_masses.svg", klass="image-plot"):
+ pass
+ with tag('img', src="../plots/weight_and_balance_diagramm.svg", klass="image-plot"):
+ pass
+ with tag('img', src="../plots/cg_cases.svg", klass="image-plot"):
+ pass
+
+ soup = BeautifulSoup(doc.getvalue(), 'html.parser')
+ html_output = soup.prettify()
+
+ # Define the path where the report will be saved
+ output_path = paths_and_names["project_directory"] + \
+ '/reporting/reportHTML/' + f"{tool_name}_report.html"
+
+ # Save the HTML content to the specified path
+ with open(output_path, "w", encoding="utf-8") as report:
+ report.write(html_output)
+
+
+def generate_report_header(tool_name, project_name):
+
+ doc, tag, text = Doc().tagtext()
+
+ with tag('html', lang="en"):
+ with tag('head'):
+ doc.stag('meta', name="viewport",
+ content="width=device-width, initial-scale=1.0")
+ doc.stag('meta', charset="UTF-8")
+ with tag('title'):
+ text(tool_name)
+ doc.stag('link', rel="stylesheet", href="style.css")
+
+ return doc, tag, text
+
+
+def generate_report():
+ pass
+
+
+def camelcase_to_string(string):
+ s_with_spaces = re.sub(r"(\w)([A-Z])", r"\1 \2", string)
+ # Split, capitalize, and join
+ return ' '.join(word.capitalize() for word in s_with_spaces.split())
diff --git a/EMPBA01/src/tube_and_wing/general/methodplot.py b/EMPBA01/src/tube_and_wing/general/methodplot.py
new file mode 100644
index 0000000000000000000000000000000000000000..17fa169b3345dbb7978873f289bffe382c32ca19
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/general/methodplot.py
@@ -0,0 +1,200 @@
+"""Module providing plotting functionalities for current calculation method."""
+# Import standard libraries.
+import os
+from matplotlib import pyplot as plt
+import numpy as np
+
+
+def method_plot(paths_and_names, routing_dict, data_dict, method_specific_output_dict, runtime_output):
+ """Plot function.
+
+ This function is responsible for creating plots.
+ [Add further information here...]
+
+ :param dict paths_and_names: Dictionary containing system paths and ElementTrees
+ :param dict routing_dict: Dictionary containing routing parameter
+ :param dict data_dict: Dictionary containing results of module execution
+ :return: None
+ """
+
+ # This is just a dummy code snippet. Insert your code here.
+ tool_name = paths_and_names['tool_name']
+ output_path = paths_and_names["project_directory"] + '/reporting/plots/'
+
+ aircraft_group_masses = []
+ ome = data_dict["operating_mass_empty"].mass
+ mtom = data_dict["maximum_takeoff_mass"].mass
+ for key, mass in data_dict["group_masses"].items():
+ name = key.replace("_", " ").title()
+ aircraft_group_masses.append(
+ (name, mass, mass / ome * 100.0, mass / mtom * 100.0))
+
+ # Extract components and their values from data_dict
+ components = list(data_dict["group_masses"].keys())
+ component_values = list(
+ data_dict["group_masses"].values()) # Mass values in kg
+
+ structure_components = list(data_dict["structure_components"].keys())
+ structure_component_values = list(
+ data_dict["structure_components"].values()) # Mass values in kg
+
+ # Colors for each component
+ colors = ['red', 'yellow', 'blue', 'orange', 'green']
+ # colors_structure = ['darkgreen', 'chartreuse', 'teal', 'aquamarine', 'olive']
+ colors_structure = ['0.35', '0.45', '0.57', '0.80', '0.9']
+
+ # Setting color characteristics
+ plt.rcParams['text.color'] = '#ecf0f1'
+ plt.rcParams['xtick.color'] = '#ecf0f1'
+ plt.rcParams['ytick.color'] = '#ecf0f1'
+
+ # Plotting
+ fig, ax = plt.subplots(figsize=(8, 5), facecolor='#494f4f')
+
+ # Bar positions
+ ind = np.arange(len(components) + 1) # +1 for the total OEM bar
+
+ # Create stacked bar for the total OEM
+ bottom = 0
+ for i in range(len(components)):
+ ax.bar(0, component_values[i], bottom=bottom,
+ width=0.5, color=colors[i], label=components[i])
+ bottom += component_values[i]
+
+ # Create bars for each individual component (not stacked)
+ for i in range(len(components)):
+ ax.bar(ind[i + 1], component_values[i], width=0.5,
+ color=colors[i], label=f'{components[i]}')
+
+ # Create stacked bar for the structure components
+ bottom = 0
+ for i in range(len(structure_components)):
+ ax.bar(1, structure_component_values[i], bottom=bottom,
+ width=0.5, color=colors_structure[i], label=structure_components[i])
+ bottom += structure_component_values[i]
+
+ # Configure the plot
+ ax.set_ylabel('Mass (kg)', color='#ecf0f1')
+ ax.set_title('Operating Mass Empty and its Components', color='#ecf0f1')
+ ax.set_xticks(ind)
+ ax.set_xticklabels(['OME'] + components)
+
+ # Manually add legend entries for structure components and others
+ handles, labels = ax.get_legend_handles_labels()
+ legend_labels = components + structure_components
+ handles = [plt.Rectangle((0, 0), 1, 1, color=color)
+ for color in (colors + colors_structure)]
+ legend = ax.legend(handles, legend_labels,
+ loc='upper right', fontsize='small')
+
+ # Set the text in the legend to black
+ for text in legend.get_texts():
+ text.set_color('black')
+
+ # Adjusting the plot's edge color
+ for spine in ax.spines.values():
+ spine.set_edgecolor('#ecf0f1')
+
+ # Save the figure
+ plt.savefig(output_path + "aircraft_group_masses.svg", format="svg")
+
+ # Loading chart
+
+ plt.figure(figsize=(8, 5), facecolor='#494f4f')
+
+ plt.plot(data_dict["Refueling CG change"],
+ data_dict["Refueling mass change"], 'y') # Refueling
+
+ plt.plot(data_dict["Passengers boarding front back CG change"],
+ data_dict["Passengers boarding front back mass change"], 'b--')
+ plt.plot(data_dict["Passengers boarding back front CG change"],
+ data_dict["Passengers boarding back front mass change"], 'b-.')
+
+ plt.plot(data_dict["Cargo loading front back CG change"],
+ data_dict["Cargo loading front back mass change"], 'c--')
+ plt.plot(data_dict["Cargo loading back front CG change"],
+ data_dict["Cargo loading back front mass change"], 'c-.')
+
+ if data_dict["Defueling mode"] == 'mode_1':
+ plt.plot(data_dict["Defueling CG change"],
+ data_dict["Defueling mass change"], 'm') # Defueling
+ legend_labels = ['Refueling', 'Pax from front', 'Pax from back', 'Cargo from front', 'Cargo from back',
+ 'Defueling', 'OME', 'MTOM', 'Neutral point Ma=0,83',
+ 'Most fwd CG', 'Most aft CG', 'NP-5%']
+ else:
+ legend_labels = ['Refueling', 'Pax from front', 'Pax from back', 'Cargo from front', 'Cargo from back',
+ 'OME', 'MTOM', 'Neutral point Ma=0,83',
+ 'Most fwd CG', 'Most aft CG', 'NP-5%']
+
+ N = np.arange(data_dict["Most forward CG mac position"] - 5, max(
+ [data_dict["Most aft CG mac position"], data_dict["Neutral point mac position"]]) + 5)
+ plt.hlines(data_dict["operating_mass_empty"].mass,
+ N.min(), N.max(), colors='gray', linestyles='--')
+ plt.hlines(data_dict["maximum_takeoff_mass"].mass,
+ N.min(), N.max(), colors='brown', linestyles='--')
+
+ plt.xlim(data_dict["Most forward CG mac position"] - 5, max(
+ [data_dict["Most aft CG mac position"], data_dict["Neutral point mac position"]]) + 5)
+
+ M = np.arange(ome - 100, mtom + 100)
+ plt.plot(np.ones(len(M)) * data_dict["Neutral point mac position"], M, 'r')
+
+ plt.plot(np.ones(len(M)) *
+ data_dict["Most forward CG mac position"], M, 'g')
+ plt.plot(np.ones(len(M)) *
+ data_dict["Most aft CG mac position"], M, 'limegreen')
+
+ plt.plot(np.ones(len(M)) *
+ data_dict["Neutral point mac position"] - 5, M, 'r-.')
+
+ # Define legend labels and colors
+
+ legend = plt.legend(legend_labels, loc='upper right', fontsize='small')
+ for text in legend.get_texts():
+ text.set_color('black')
+
+ plt.grid(color='#ecf0f1')
+
+ plt.title("Loading Diagramm")
+ plt.xlabel("CG x-position over MAC in %", color='#ecf0f1')
+ plt.ylabel("Mass [kg]", color='#ecf0f1')
+
+ plt.savefig(output_path + "weight_and_balance_diagramm.svg", format="svg")
+
+ # Plot different mass configuration cases:
+
+ plt.figure(figsize=(8, 5), facecolor='#494f4f')
+
+ plt.plot(data_dict["operating_mass_empty"].cg_mac,
+ data_dict["operating_mass_empty"].mass, '+')
+
+ plt.plot(data_dict["maximum_zero_fuel_mass"].cg_mac,
+ data_dict["maximum_zero_fuel_mass"].mass, 'x')
+
+ plt.plot(data_dict["mtow_with_max_payload"].cg_mac,
+ data_dict["mtow_with_max_payload"].mass, '*')
+
+ plt.plot(data_dict["mtow_with_max_fuel"].cg_mac,
+ data_dict["mtow_with_max_fuel"].mass, 'D')
+
+ plt.plot(data_dict["ferry_range_mass"].cg_mac,
+ data_dict["ferry_range_mass"].mass, 'o')
+
+ plt.plot(data_dict["design_mass"].cg_mac,
+ data_dict["design_mass"].mass, 's')
+
+ # Define legend labels and colors
+ legend_labels2 = ['OME', 'MZFM (max Payload)', 'max Payload + Fuel', 'max Fuel + Payload', 'max Fuel',
+ 'Design Fuel + Design Payload']
+ legend = plt.legend(legend_labels2, loc='lower right', fontsize='small')
+ for text in legend.get_texts():
+ text.set_color('black')
+
+ plt.grid(color='#ecf0f1')
+
+ plt.title("Loading Cases")
+ plt.xlabel("CG x-position over MAC in %", color='#ecf0f1')
+ plt.ylabel("Mass [kg]", color='#ecf0f1')
+ plt.savefig(output_path + "cg_cases.svg", format="svg")
+
+ runtime_output.print("plotted")
diff --git a/EMPBA01/src/tube_and_wing/general/methodtexoutput.py b/EMPBA01/src/tube_and_wing/general/methodtexoutput.py
new file mode 100644
index 0000000000000000000000000000000000000000..87a9aa043988da76e4dcc285947e5c66c16b4fb8
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/general/methodtexoutput.py
@@ -0,0 +1,19 @@
+"""Module providing report functionalities for current calculation method."""
+
+
+def method_tex_output(paths_and_names, routing_dict, data_dict, method_specific_output_dict, runtime_output):
+ """TeX file output function.
+
+ This function is responsible for creating TeX output files.
+ [Add further information here...]
+
+ :param dict paths_and_names: Dictionary containing system paths and ElementTrees
+ :param dict routing_dict: Dictionary containing routing parameters
+ :param dict data_dict: Dictionary containing results of module execution
+ :param dict method_specific_output_dict: Dictionary containing method specific output data
+ :param logging.Logger runtime_output: Logging object used for capturing log messages in the module
+ :return: None
+ """
+
+ # This is just a dummy code snippet. Insert your code here.
+ runtime_output.warning('Warning: No "method_tex_output" function in "methodtexoutput.py" file implemented yet.')
diff --git a/EMPBA01/src/tube_and_wing/general/methodxmlexport.py b/EMPBA01/src/tube_and_wing/general/methodxmlexport.py
new file mode 100644
index 0000000000000000000000000000000000000000..2ac26b466679ca5a871bdf94550022288b7ca685
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/general/methodxmlexport.py
@@ -0,0 +1,103 @@
+"""Module providing export functionalities for current calculation method."""
+# Import standard libraries.
+import xml.etree.ElementTree as ET
+
+
+def method_xml_export(paths_and_names, routing_dict, data_dict, method_specific_output_dict, xml_export_tree,
+ path_to_results_file, runtime_output):
+ """Export function.
+
+ This function is responsible for the export of method-specific data to the corresponding method-specific XML. In
+ detail, this includes the following steps:
+ (1) Parse the XML file specified by the 'path_to_results_file' variable.
+ (2) Find the 'calculation_results' element in the XML file. This is the element under which method-specific
+ nodes will be added.
+ (3) Extract method-related information from the configuration file, such as the method name and description and
+ add method node.
+ (4) Extract design mission data from the method-specific output dictionary and write it to the XML file.
+ (5) If a study exists, extract study data from the method-specific output dict and write it to the XML file.
+ (6) Attempt to write the modified XML data back to the 'costEstimation_results.xml' file. Handle an OSError
+ exception in case an error occurs during this operation.
+
+ :param dict paths_and_names: Dictionary containing system paths and ElementTrees
+ :param dict routing_dict: Dictionary containing routing parameters
+ :param dict data_dict: Dictionary containing results of module execution
+ :param dict method_specific_output_dict: Dictionary containing method-specific output data
+ :param ElementTree xml_export_tree: Element tree of method-specific XML tree
+ :param str path_to_results_file: Path to method-specific output XML file
+ :param logging.Logger runtime_output: Logging object used for capturing log messages in the module
+ :raises OSError: Raised if writing to aircraft exchange file failed
+ :return: None
+ """
+ runtime_output.print("Method-specific data are written to '" +
+ routing_dict['module_name'] + "_results.xml'...")
+
+ # Function to write data to 'cost_estimation_results.xml'
+ root_of_results_file = xml_export_tree.getroot()
+ parent = root_of_results_file.find('calculation_results')
+ # Add method node.
+ root_of_module_config_tree = paths_and_names['root_of_module_config_tree']
+
+ # Prepare ElementTree for export to module-specific XML.
+ prepare_element_tree_for_module_specific_export(
+ root_of_results_file, method_specific_output_dict)
+
+ # Write all parameters to export file.
+ try:
+ # Ensure proper indentation.
+ ET.indent(root_of_results_file, space=" ", level=0)
+ # Write data to file.
+ xml_export_tree.write(path_to_results_file)
+ # Exception handling for operating system error.
+ except OSError:
+ runtime_output.error(
+ 'Error: Writing to aircraft exchange file failed. Program aborted!')
+
+
+def prepare_element_tree_for_module_specific_export(root_of_results_file, specific_output_dict):
+ """ Prepare ElementTree for module-specific results export.
+
+ This function is responsible for preparing the ElementTree of the module-specific export file.
+ In summary, the code dynamically updates an XML structure based on a list of paths and a dictionary
+ ('specific_output_dict'). It ensures that the specified paths exist in the XML structure and creates the necessary
+ sub-elements along the way, setting attributes and text values as specified in 'specific_output_dict'.
+
+ :param ElementTree root_of_results_file: Root of method-specific export ElementTree
+ :param dict specific_output_dict: Dictionary containing method-specific output data
+ :return: None
+ """
+ # Extract 'list_of_paths' from 'specific_output_dict' and delete it from dictionary.
+ list_of_paths = specific_output_dict['list_of_paths']
+ del specific_output_dict['list_of_paths']
+ # Iterate over paths.
+ for current_path in list_of_paths:
+ # Check, if 'current_path' exists in XML structure and generate path and sub-elements if not.
+ if root_of_results_file.find(current_path) is None:
+ # Split path into path_parts using '/' as delimiter, excluding first empty part.
+ path_parts = current_path.split('/')[1:]
+ # Initialize 'path_to_check' with the root element ('.').
+ path_to_check = '.'
+ # Iterate over 'path_parts'.
+ for part in path_parts:
+ # Find parent element corresponding to current 'path_to_check'.
+ parent_path = root_of_results_file.find(path_to_check)
+ # Update 'path_to_check' by appending the current part.
+ path_to_check += ('/' + part)
+ # Check, if updated 'path_to_check' does not exist in the XML structure.
+ if root_of_results_file.find(path_to_check) is None:
+ # Check, if 'part' is in 'specific_output_dict'.
+ if specific_output_dict[part] is not None:
+ # Create sub-element.
+ new_node = ET.SubElement(parent_path, part)
+ # Add attributes (if necessary).
+ if 'attributes' in specific_output_dict[part]:
+ for key, value in specific_output_dict[part]['attributes'].items():
+ new_node.set(key, value)
+ # Add further sub-elements if defined.
+ if 'parameters' in specific_output_dict[part]:
+ current_path = root_of_results_file.find(
+ path_to_check)
+ for key, value in specific_output_dict[part]['parameters'].items():
+ parameter_node = ET.SubElement(
+ current_path, key)
+ parameter_node.text = str(value)
diff --git a/EMPBA01/src/tube_and_wing/usermethoddatapreparation.py b/EMPBA01/src/tube_and_wing/usermethoddatapreparation.py
new file mode 100644
index 0000000000000000000000000000000000000000..f0c408193afd797e332a24e46187cf211113f7fe
--- /dev/null
+++ b/EMPBA01/src/tube_and_wing/usermethoddatapreparation.py
@@ -0,0 +1,117 @@
+"""Module providing functions for the preparation of user data."""
+
+
+def user_method_data_input_preparation(routing_dict):
+ """Prepare necessary input data for the user method from aircraft exchange and module configuration files.
+
+ In this function, the user is responsible for preparing the data needed for the user method. Relevant general data
+ are obtained from the aircraft exchange file and calculation specific parameter from the module configuration file.
+ The user must submit the data in the following format:
+ dict = {'parameter_name': [path to parameter node, expected data type], ...}
+
+ :param dict routing_dict: Dictionary containing information on necessary data from module configuration file
+ :returns:
+ - dict data_to_extract_from_aircraft_exchange_dict: Dictionary containing parameter name, path to parameter,
+ and expected data type of parameters to be extracted from aircraft exchange file
+ - dict data_to_extract_from_module_configuration_dict: Dictionary containing parameter name, path to parameter,
+ and expected data type of parameters to be extracted from module configuration file
+ """
+
+ """Aircraft exchange file."""
+ # Enter all parameters to be extracted from the aircraft exchange file.
+ requirements_wing_path = \
+ './requirements_and_specifications/design_specification/configuration/wing_definition/'
+ component_design_path = './component_design/'
+ mission_analysis_path = './analysis/mission/design_mission/'
+ aero_analysis_path = './analysis/aerodynamics/reference_values/'
+ top_level_aircraft_requirements_path = \
+ './requirements_and_specifications/requirements/top_level_aircraft_requirements/'
+ design_specification_path = \
+ './requirements_and_specifications/design_specification/'
+ data_to_extract_from_aircraft_exchange_dict = {
+ "maximum_structural_payload_mass": [
+ top_level_aircraft_requirements_path + 'maximum_structrual_payload_mass', float],
+ "wing_exist": [component_design_path + "wing", None],
+ "fuselage_exist": [component_design_path + "fuselage", None],
+ "empennage_exist": [component_design_path + "empennage", None],
+ "landing_gear_exist": [component_design_path + "landing_gear", None],
+ "propulsion_exist": [component_design_path + "propulsion", None],
+ "systems_exist": [component_design_path + "systems", None],
+ "wing_mounting": [requirements_wing_path + 'mounting', str],
+ "x_global_reference_point": [component_design_path + 'global_reference_point/x', float],
+ "x_wing_globlal_position": [component_design_path + 'wing/position/x', float],
+ "x_aircraft_neutral_point": [aero_analysis_path + 'neutral_point/x', float],
+ "aircraft_type": [design_specification_path + "configuration/configuration_type", str],
+ "loaded_mission_energy": [
+ mission_analysis_path + 'loaded_mission_energy/mission_energy[@ID="0"]/consumed_energy', float],
+ "loaded_mission_energy_carrier": [
+ mission_analysis_path + 'loaded_mission_energy/mission_energy[@ID="0"]/energy_carrier_ID', float],
+ "taxi_energy_in": [
+ mission_analysis_path + 'taxi_energy/taxi_in_energy[@ID="0"]/consumed_energy', float],
+ "taxi_energy_in_carrier": [
+ mission_analysis_path + 'taxi_energy/taxi_in_energy[@ID="0"]/energy_carrier_ID', float],
+ "taxi_energy_out": [
+ mission_analysis_path + 'taxi_energy/taxi_out_energy[@ID="0"]/consumed_energy', float],
+ "taxi_energy_out_carrier": [
+ mission_analysis_path + 'taxi_energy/taxi_out_energy[@ID="0"]/energy_carrier_ID', float],
+ "take_off_energy": [
+ mission_analysis_path + 'in_flight_energy/takoff_energy[@ID="0"]/consumed_energy', float],
+ "take_off_energy_carrier": [
+ mission_analysis_path + 'in_flight_energy/takoff_energy[@ID="0"]/energy_carrier_ID', float],
+ "landing_energy": [
+ mission_analysis_path + 'in_flight_energy/landing_energy[@ID="0"]/consumed_energy', float],
+ "landing_energy_carrier": [
+ mission_analysis_path + 'in_flight_energy/landing_energy[@ID="0"]/energy_carrier_ID', float],
+ "trip_energy": [
+ mission_analysis_path + 'in_flight_energy/trip_energy[@ID="0"]/consumed_energy', float],
+ "trip_energy_carrier": [
+ mission_analysis_path + 'in_flight_energy/trip_energy[@ID="0"]/energy_carrier_ID', float],
+ "energy_carrier_gravimetric_density": [design_specification_path +
+ 'energy_carriers/energy_carrier[@ID="0"]/gravimetric_density', float],
+ "energy_carrier_volumetric_density": [design_specification_path +
+ 'energy_carriers/energy_carrier[@ID="0"]/volumetric_density', float],
+ "energy_carrier_density": [design_specification_path + 'energy_carriers/energy_carrier[@ID="0"]/density',
+ float],
+ "energy_carrier_type": [design_specification_path + 'energy_carriers/energy_carrier[@ID="0"]/type', str],
+ 'tool_level': ['./analysis/masses_cg_inertia', 'tool_level'],
+ }
+
+
+ """Polar exchange file """
+
+
+
+ """Module configuration file."""
+ # Enter all general parameters to be extracted from the module configuration file. 'general parameters' means
+ # parameters that do not differ according to the user layer. It should be noted that 'tmp_general' is only used to
+ # shorten the path information in the 'general_data_to_extract_from_module_configuration_dict'.
+ module_settings_path = f"./program_settings/empennage_sizing/tail_type/{routing_dict['user_layer']}/"
+ general_data_to_extract_from_module_configuration_dict = {
+ "mode_design_method": [module_settings_path + "calculation_methods/design_method", str],
+ "aircraft_class": [module_settings_path + "calculation_methods/tail_sizing", str],
+ }
+
+
+
+ # Enter all specific parameters to be extracted from the module configuration file. 'specific parameters' means
+ # parameters that differ according to the user layer. It should be noted that 'tmp_specific' is only used to
+ # shorten the path information in the 'specific_data_to_extract_from_module_configuration_dict'.
+
+ specific_data_to_extract_from_module_configuration_dict = {
+
+ }
+
+ # Merge module configuration dictionaries.
+ data_to_extract_from_module_configuration_dict = \
+ general_data_to_extract_from_module_configuration_dict | specific_data_to_extract_from_module_configuration_dict
+
+ return data_to_extract_from_aircraft_exchange_dict, data_to_extract_from_module_configuration_dict
+
+# routing_dict = {'user_layer': 'example_layer'} # Example input
+# data_aircraft, data_module = user_method_data_input_preparation(routing_dict)
+
+# print("Aircraft Exchange Data:")
+# print(data_aircraft)
+
+# print("\nModule Configuration Data:")
+# print(data_module)
diff --git a/EMPBA01/takeoff_polar_results.json b/EMPBA01/takeoff_polar_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..c74d1e1783b3b75128eae8e3bc9adfd1dde08de6
--- /dev/null
+++ b/EMPBA01/takeoff_polar_results.json
@@ -0,0 +1,39702 @@
+{
+ "takeoff": {
+ "Name": "takeoff",
+ "Comment": "takeoff Configuration",
+ "Polar Results": [
+ {
+ "Polar ID": "1",
+ "Number of Alpha": 2481,
+ "CG_appr_new": [
+ 13.961341953035966,
+ 14.03186940787959,
+ 14.102396862723216,
+ 14.17292431756684,
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+ 15.089781230533966,
+ 15.16030868537759,
+ 15.230836140221216,
+ 15.30136359506484
+ ],
+ "xac_global": [
+ -1.8745092869640345,
+ -1.8039818321204102,
+ -1.733454377276784,
+ -1.6629269224331598,
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+ -0.7460700094660346,
+ -0.6755425546224103,
+ -0.6050150997787842,
+ -0.5344876449351599
+ ],
+ "cm_AC": [
+ 0.0012253015969908695,
+ 0.0012168247394375494,
+ 0.0012083478818842289,
+ 0.0011998710243309087,
+ 0.0011913941667775884,
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+ }
+ ]
+ }
+}
\ No newline at end of file
diff --git a/EMPBA01/teta_e_value.json b/EMPBA01/teta_e_value.json
new file mode 100644
index 0000000000000000000000000000000000000000..e9d2a8e35e85af41d46ff5d0ba8ffc08bcedcb15
--- /dev/null
+++ b/EMPBA01/teta_e_value.json
@@ -0,0 +1 @@
+{"cl_000": 0.509, "xac_global": [-1.8745092869640345, -1.8039818321204102, -1.733454377276784, -1.6629269224331598, -1.5923994675895354, -1.5218720127459093, -1.451344557902285, -1.380817103058659, -1.3102896482150346, -1.2397621933714102, -1.1692347385277841, -1.0987072836841598, -1.0281798288405355, -0.9576523739969094, -0.8871249191532851, -0.816597464309659, -0.7460700094660346, -0.6755425546224103, -0.6050150997787842, -0.5344876449351599], "L_mu": 4.16, "c_m_0_flap":
\ No newline at end of file
diff --git a/EMPBA01/xac_minimal_global.json b/EMPBA01/xac_minimal_global.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ef269d9c7f487f4dcf124132cbe06e41906f37b
--- /dev/null
+++ b/EMPBA01/xac_minimal_global.json
@@ -0,0 +1,6 @@
+{
+ "x_forward": 14.382192620423847,
+ "x_afterward": 14.85221553749402,
+ "y_forward": 0.22678431019699882,
+ "y_afterward": 0.15838117743045776
+}
\ No newline at end of file