Landkammer P, Söhngen B, Steinmann P, Willner K (2017)
Publication Language: English
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2017
Publisher: Wiley-VCH Verlag
Book Volume: 40
Pages Range: 27-50
Journal Issue: 1
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.
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://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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