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Journal of Materials Engineering and Performance

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01-10-2013

Comparison of Material Models for Spring Back Prediction in an Automotive Panel Using Finite Element Method

Authors: Xiongqi Peng, Shaoqing Shi, Kangkang Hu

Published in: Journal of Materials Engineering and Performance | Issue 10/2013

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Abstract

Springback is a crucial factor in sheet metal forming process. An accurate prediction of springback is the premise for its control. An elasto-plastic constitutive model that can fully reflect anisotropic character of sheet metal has a crucial influence in the forming simulation. The forming process simulation and springback prediction of an automobile body panel is implemented by using JSTAMP/LS-DYNA with the Yoshida-Uemori, the 3-parameter Barlat and transversely anisotropic elasto-plastic model, respectively. Simulation predictions on spingback from the three constitutive models are compared with experiment measurements to demonstrate the effectiveness and accuracy of the Yoshida-Uemori model in characterizing the anisotropic material behavior of sheet metal during forming. With an accurate prediction of springback, it can provide design guideline for the practical application in mold design with springback compensation and to achieve an accurate forming.

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Title: Comparison of Material Models for Spring Back Prediction in an Automotive Panel Using Finite Element Method
Authors: Xiongqi Peng
Shaoqing Shi
Kangkang Hu
Publication date: 01-10-2013
Publisher: Springer US
Published in: Journal of Materials Engineering and Performance / Issue 10/2013
Print ISSN: 1059-9495
Electronic ISSN: 1544-1024
DOI: https://doi.org/10.1007/s11665-013-0600-5

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