Illustration of an improved non-invasive form finding algorithm

Caspari M, Landkammer P, Steinmann P (2018)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Publisher: AIP Conference Proceedings

Conference Proceedings Title: 21st International ESAFORM Conference on Material Forming

Event location: Palermo

ISBN: 978-073541663-5

DOI: 10.1063/1.5034960

Abstract

Shape optimization is commonly used in various fields of metal forming. Merklein et al. [6] introduced a novel class of forming process, sheet bulk metal forming (SBMF), which is being continuously improved and applied within the collaborative research group TR73. For SBMF, non-invasive form finding is used to optimize the shape of semi-finished products, which is adapted to the forming process a priori, as it is general practice for tailored blanks. The node-based, non-invasive algorithm minimizes the differences between the spatial configuration and the prescribed discretized target configuration by updating the material configuration iteratively up to the optimum semi-finished product geometry.

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How to cite

APA:

Caspari, M., Landkammer, P., & Steinmann, P. (2018). Illustration of an improved non-invasive form finding algorithm. In American Institute of Physics Inc. (Eds.), 21st International ESAFORM Conference on Material Forming. Palermo: AIP Conference Proceedings.

MLA:

Caspari, Michael, Philipp Landkammer, and Paul Steinmann. "Illustration of an improved non-invasive form finding algorithm." Proceedings of the ESAFORM 2018, Palermo Ed. American Institute of Physics Inc., AIP Conference Proceedings, 2018.

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