On gradient-based optimization strategies for inverse problems in metal forming

Landkammer P, Söhngen B, Steinmann P, Willner K (2017)


Publication Language: English

Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2017

Journal

Publisher: Wiley-VCH Verlag

Book Volume: 40

Pages Range: 27-50

Journal Issue: 1

DOI: 10.1002/gamm.201710004

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.

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APA:

Landkammer, P., Söhngen, B., Steinmann, P., & Willner, K. (2017). On gradient-based optimization strategies for inverse problems in metal forming. GAMM-Mitteilungen, 40(1), 27-50. https://dx.doi.org/10.1002/gamm.201710004

MLA:

Landkammer, Philipp, et al. "On gradient-based optimization strategies for inverse problems in metal forming." GAMM-Mitteilungen 40.1 (2017): 27-50.

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