Journal of the Japan Society for Technology of Plasticity
Online ISSN : 1882-0166
Print ISSN : 0038-1586
ISSN-L : 0038-1586
Papers
Improvement of Springback Prediction Accuracy by Considering Nonlinear Elastoplastic Behavior after Stress Reversal
Satoshi SUMIKAWA, Akinobu ISHIWATARI, Jiro HIRAMOTO
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2016 Volume 57 Issue 666 Pages 635-640

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Abstract

Springback prediction during press forming has become more important in the recent background that high-strength steels have been applied to white body parts. The springback prediction accuracy depends on the estimation of recovery strain after die release. It is well known that unloading behavior after pre-strain shows a nonlinear stress-strain relationship, so a material model considering the nonlinear elastoplastic behavior is necessary for accurate springback predictions. In this study, the nonlinear behaviors of high-strength steel sheets under uniaxial and biaxial stress states were measured. A new material model that takes the nonlinear behavior into consideration was proposed, and implemented into finite element method (FEM) software. The press-forming tests of curved hat-shaped parts and the corresponding springback analyses were performed and the springback angles were evaluated. The springback predictions made using the proposed model showed good agreement with experimental results.

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© 2016 The Japan Society for Technology of Plasticity
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