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Goal of this tutorial

  • Introduction to MSC Apex Generative Design 2020

  • Gain basic optimization knowledge

  • Get familiar with symmetry function

  • This function is unsupported in the MSC Apex Generative Design 2020 Release

Training:

Relevant data for this tutorial:

View file
nameDrone.x_t

Step 1: Start MSC Apex Generative Design 2020

The program starts and you can directly create your optimization optimisation model

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Step 2: Model generation

You can either create the geometry directly in MSC Apex Generative Design or import already existing files. You can import .x_b, .x_t, .step, and .sldprt files into the program.

  • Import/create the Design space including the Nondesign spacesin MSC Apex Generative Design 2020. For this Drone a CAD-file was imported.

  • The CAD-file includes several solids. Thus, only one solid is supported for an optimizationoptimisation, with a Boolean operation the solids can be merged to one. Activate Merge Solids as Cells to create partitions which can be used for Nondesign spaces.

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  • Create the material in the Materials editor and assign it to the Design space

  • The specific values needed are the Young's Modulus (2350 MPa), Poisson ratio (0.4) and density (1.24e-6 kg/mm3)

  • After assigning the material to the solid, the material will be part of the model tree on the left side

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  • Nondesign spaceshave to be selected using the Optimization optimisation Tools. In this case with the direct method all already existing cells (partitions) can be selected (Four engine brackets and the two brackets for battery and control unit)

  • The Nondesign spaces will change the color colour and are listed up in the model tree

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Step 3: Definition of boundary conditions

Go to the Loads & Boundary Condition Tool to enter the loads and fixations. Displacements, Forces, Moments, Gravity and Pressure Loads can be applied using different selection options.

  • In this case a symmetrical optimization by optimisation using the Advanced User Settings should be doneis carried out. Therefore, the loads are only applied on a quarter (half/quarter/eightheighth…)

  • The loads will be automatically mirrored through the symmetry planes

  • Attention: The loads are only allowed to be applied in the positive coordinate direction. More information about how to use the symmetry function here.

Because two symmetry planes will be used only one force is defined on the engine bracket which is located in the positive coordinate quarter:

Name

Force/Moment/Pressure/Gravity

Direction

Value in N

Force - Moment

Force on cell

z

-300

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Two constraints are created and applied on the two cells (partitions) in the middle.

Name

Direction

Constraint1

x, y, z (=0)

Constraint2

x, y, z (=0)

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  • The displacement constraints are allowed to be applied inside the other coordinate half/quarter/octant unlike loads

  • All cells with a load or constraint will automatically be a Nondesign space if they weren’t selected before as a Nondesign space!

Step 4: Definition of load cases

The next steps are defined in the Studies area.

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  • Active in Event1: Force-Moment 1, Constraint 1, Constraint 2

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Step 5: Definition of

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optimisation parameters

The optimization optimisation parameters are selected in the Studies Area as well.

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Step 6: Adding Advanced User Settings (Symmetry)

Advanced User Settings can be added to each scenario by activating the text field with a right click on the specific scenario.

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In this case the symmetry constraints are added. Therefore, the Advanced User Commands symmetry.zx (symmetry plane XY-YZ) and symmetry.xy (symmetry plane YX-Z) are entered.

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To ensure the model is placed suitable to the global coordinate origin the Transform Tool can be used. If the Model is shifted to the global planes, it can be moved to the global coordinate origin.

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Step 7: Starting the

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optimisation and visualizing the results

Before starting the optimizationoptimisation, a look inside the Generative Design Solver Settings can be useful. (Options-Application Settings-Generative Design Solver)

Here can be chosen between local or remote and GPU or CPU solving. Furthermore, the complexity Complexity value can be changed.

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If all data is correct, the optimization optimisation can be started and tracked in the Post Processing. The Analysis Readiness function checks if all information is provided and the optimization optimisation can start.

All result iterations are displayed as soon as they are available. Furthermore, you are able to stop the optimization optimisation in this selection area. However, a restart is not directly possible.

The optimization optimisation is finished after 64 iterations (Shape Quality: Balanced).

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Generative Design

  • The Strut Densityinfluences the structures which are formed during optimizationoptimisation

Step

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8: Post Processing: Visualization of Stresses, Displacements & Mass

The legend can be influenced in different ways. You can add and reduce the stress/displacement steps, enlarge different steps and set new minimum and maximum values.

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  • The mass of each iteration can be visualized with a diagram

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The whole Apex GD project with all results is uploaded here:

View file
nameDrone_Tutorial.zip

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