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Goal of this tutorial
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Training:
Relevant data for this tutorial:
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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 Gennerative Generative Design or import already existing files. You can import .xb, .step, and .sldprt files into the program.
Import/create the Design space including the Nondesign spaces in MSC Apex Generativ Generative Design 2020. For this Pedal the already prepared Design space and Nondesign spaces were 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 Steel in the Materials editor and assign it to the Design space
The specific values needed are the Young's Modulus (210e3 MPa), poisson Poisson ratio (0.28) and density (7.85e-6 kg/mm3)
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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
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The Nondesign spaces will change the color colour and are listed in the model tree
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 optimisation using the Advanced User Settings is carried out. Therefore, the loads are only applied on a half (quarter/eighth…)
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.
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Name | Direction |
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Constraint 1 | x, y, z (=0) |
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Step 4: Definition of load cases
The next steps are defined in the Studies area.
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Active in Event1: Force-Moment and Constraint1
Step 5: Definition of
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optimisation parameters
The optimization optimisation parameters are selected in the Studies Area as well.
Select the Strut Density: Medium
Select the Shape Quality: Balanced
Enter the Stress Goal: 50 MPa
Advanced User Settings: BF1584446026. Further information here.
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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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Don’t forget to save the project!
Step 7: Starting the
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optimisation and visualize the results
Before starting the optimizationoptimisation, a look inside the Generative Design Solver Settings can be useful. (Options-Application Settings-Generative Design Solver)
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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 are 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).
Step 8: Visualization of Stresses & Displacements
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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Generative Design
You can always change the Strut Density, Stress Goal and Complexity to influence the results and try out different options
The Complexity can be increased to realize a higher resolution (increases calculation time!) Options - Application Settings - Generative Design Solver
The whole MSC Apex Generative Design 2020 project with all results can be downloaded here:
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