The optimization calculates the von Mises stress and shows these stress values in the postprocessing.
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The eleceted stress goal is the overall optimization goal for each optimization and has a big influence on the resulting design. The target is that the material of the part is evenly loaded and the stress is uniformly distributed. Thus, the stress goal isn’t the maximum stress, which can occur at design space limits or due to FE singularities. Not in every case the yield strength of the material is best value for this parameter, e.g. when the applied loads are too small to create these stresses. By changing the stress goal the stiffness of the structure can be influenced. Due to uniformly distributed stresses, lower stress goals resulting in stiffer parts at the most lightweight design.
The stress goal is dependent on the resolution levels. The optimization runs on different resolution levels and switches between them to achieve the best results. The first iterations are calculated on a coarse resolution level. 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 as the last. With the increasing resolution, the size of the output data, the calculation time as well as the surface quality increase.
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