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About this book
The NUMISHEET conference series is the most significant international conference on the area of the numerical simulation of sheet metal forming processes. It gathers the most prominent experts in numerical methods in sheet forming processes and is an outstanding forum for the exchange of ideas and for the discussion of technologies related to sheet metal forming processes.
Topics covered in this volume include but are not limited to the following:
- Materials Modeling and Experimental Testing Methods
- Friction and Contact
- Formability, Necking, and Fracture
- Instabilities and Surface Defects
- Fracture and Damage
- Numerical Methods
- Springback
- Incremental Sheet Forming
- Roll Forming
- Innovative Forming Methods
- Product and Process Design and Optimization
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Keywords
Table of contents (85 papers)
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Numerical Implementation of Advanced Constitutive Models
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Modeling of Sheet Metal Forming: In Memory of Prof. Jean-Claude Gelin
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: NUMISHEET 2022
Book Subtitle: Proceedings of the 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes
Editors: Kaan Inal, Julie Levesque, Michael Worswick, Cliff Butcher
Series Title: The Minerals, Metals & Materials Series
DOI: https://doi.org/10.1007/978-3-031-06212-4
Publisher: Springer Cham
eBook Packages: Chemistry and Materials Science, Chemistry and Material Science (R0)
Copyright Information: The Minerals, Metals & Materials Society 2022
Hardcover ISBN: 978-3-031-06211-7Published: 01 July 2022
Softcover ISBN: 978-3-031-06214-8Published: 02 July 2023
eBook ISBN: 978-3-031-06212-4Published: 30 June 2022
Series ISSN: 2367-1181
Series E-ISSN: 2367-1696
Edition Number: 1
Number of Pages: XIII, 982
Number of Illustrations: 73 b/w illustrations, 589 illustrations in colour
Topics: Structural Materials, Mathematical Modeling and Industrial Mathematics, Characterization and Evaluation of Materials, Theoretical, Mathematical and Computational Physics, Numerical Analysis