OUTDATED VERSION. Follow the link for the latest version: https://www.hexagonmi.com/MSC-Apex-Generative-Design/help

Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 11 Next »

The optimization calculates the von Mises stress and shows these stress values in the postprocessing as well.

The optimization works with different resolution levels and switches between them to achieve best results. The first itertions are calculated on a coarse resolution. With rising number of iterations the resolution gets finer. This means that the first iterations calculate much faster than the last iterations but aren’t as detailed. With the increasing resolution, the size of the output data and the surface quality increase in the same way.

Furthermore the stress goal is dependent on the steps of the resolution levels. The stress percent goal changes between the different levels. This is a percentage value at which the target stress is reached. On the highest resolution level the requested stress goal will reach 100% an thus satisfy the defined stress goal. On lower resolution levels the stress goal varies on purpose from the requested stress goal.

  • No labels