Landkamer, P., Sohngen, B., Steinmann, P. and Willner, K. (2017) On gradient-based optimization strategies for inverse problems in metal forming. GAMM-Mitteilungen, 40(1), pp. 27-50. (doi: 10.1002/gamm.201710004)
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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.
Item Type: | Articles |
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Additional Information: | Funding information: German Research Foundation (DFG) wihtin the scope of the Transregional Collaborative Research Center on Sheet‐Bulk Metal Forming. Grant Number: TCRC 73. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Steinmann, Professor Paul |
Authors: | Landkamer, P., Sohngen, B., Steinmann, P., and Willner, K. |
College/School: | College of Science and Engineering > School of Engineering > Infrastructure and Environment |
Journal Name: | GAMM-Mitteilungen |
Publisher: | Wiley |
ISSN: | 0936-7195 |
ISSN (Online): | 1522-2608 |
Published Online: | 25 September 2017 |
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