An AI-Assisted Design Method for Topology Optimization without Pre-Optimized Training Data

@article{Halle2020AnAD,
  title={An AI-Assisted Design Method for Topology Optimization without Pre-Optimized Training Data},
  author={A. von Halle and Lucio Flavio Dr.-Ing. Campanile and Alexander Hasse},
  journal={Proceedings of the Design Society},
  year={2020},
  volume={2},
  pages={1589 - 1598}
}
Abstract Engineers widely use topology optimization during the initial process of product development to obtain a first possible geometry design. The state-of-the-art method is iterative calculation, which requires both time and computational power. This paper proposes an AI-assisted design method for topology optimization, which does not require any optimized data. The presented AI-assisted design procedure generates geometries that are similar to those of conventional topology optimizers, but… 

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