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

Proceedings of the Design Society, ISSN: 2732-527X, Vol: 2, Page: 1589-1598
2022
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Conference Paper Description

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 require only a fraction of the computational effort.

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