Title: On gradient-based optimization strategies for inverse problems in metal forming
Abstract: In the context of metal forming, optimization issues typically lead to inverse problems with a least-squares minimization as the objective. Due to the nonlinearities in forming simulations, iterative optimization approaches have to be considered. Gradient-based solution strategies for two inverse problems are proposed and compared to each other. Firstly, the identification of elasto-plastic material parameters is regarded. Secondly, a recently developed approach for the determination of an optimal workpiece design is investigated. As a special feature, both approaches can be coupled in a non-invasive fashion to arbitrary external finite element software via subroutines.
Publication Year: 2017
Publication Date: 2017-09-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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