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The optimisation parameters are selected in the Studies Area as well.
Manufacturing Method: Generic AM
Failure Criteria: Von Mises
Safety Factor: 6,4
Select the Strut Density: Medium
Select the Shape Quality: Balanced
Set the Complexity Setting: 10
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Don’t forget to save the project!
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If all data is correct, the optimisation can be started and tracked in the Post Processing. The Analysis Readiness function checks if all information is provided and the optimisation can start.
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All result iterations are displayed as soon as they are available. Furthermore, you are able to stop the optimisation in this selection area. However, a Restart is not directly possible.
The optimisation is finished after 64 iterations (Shape Quality: Balanced).
You can check the status of the optimisation in the GD Status and get more information on Warning and Error messages. This can be done directly in the Post-Processing as well as in the Studies tab for an optimisation that has already run.
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You can always change the Strut Density, Stress Goal and Complexityto influence the results and try out different options
The Complexitycan be increased for a higher resolution and more detailed result (increased calculation time!)
The Strut Densityinfluences the structures which are formed during optimisation
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The whole MSC Apex Generative Design project with all results can be downloaded here:
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You might also be interested in these tutorials:
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