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Here are some example projects for the current release:
Generative Design
You can always change the Strut Density, Stress Goal and Complexityto influence the results and try out different options
Changing the complexity setting:
By changing the Complexityvalue from a lower (left image below) to a higher value (right image below) the resulting structure changes because the optimisation is carried out with a higher resolution. The emerging structure is more detailed and defined, but it also takes more time to get to this result. It depends on the model, the field of application and other non-quantifiable conditions which complexity setting is best suited for the part. We suggest starting with a low Complexityvalue for the first optimisations and after receiving the results consider whether a higher value is appropriate for the model.
You can see the results for two Complexitysettings and the deactivation of Keep Non-Design Spaces below.
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Reduce fixation points vs. Keep all Non-Design Spaces
To realize an optimisation with as much freedom as possible you should disable the Keep Non-Design Spaces function for the six fixations points as well as the constraint created with them. You can also create six separate constraints and deactivate all of them as well as the six Non-Design Spaces.
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The result in this example includes all six fixation points. As shown in the left image the first optimisation reduced one of the fixation points and by choosing the presented function all of the six fixation points are included in the result.
Introducing Event Specific Safety Factors
To prioritize Events differently, Event Specific Safety Factor can be placed on single Events. It is also possible to prioritize only one Event. In this case the other event will take the global Safety Factor/Stress Goal into consideration for the optimisation.
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The whole MSC Apex Generative Design projects with all results can be downloaded here:
You might also be interested in these tutorials:
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