Effect of constitutive model on springback prediction of MP980 and AA6022-T4

  • Jianping Lin
  • Yong Hou
  • Junying MinEmail author
  • Huijun Tang
  • John E. Carsley
  • Thomas B. Stoughton


Springback simulation of stamped sheet metal components using finite element method depends on the accuracy of appropriate material models and consideration of appropriate experimental strategies. In this work, tension-compression tests with different strategies, e.g. tension-compression, compression-tension up to various strain levels and multicycle compression-tension tests were conducted to determine parameters of the Yoshida-Uemori (Y-U) nonlinear dynamic hardening model using optimization analysis software LS-OPT. Finite element simulations with LS-DYNA were performed to predict springback behavior of both the advanced high strength steel MP980 (a 980 MPa grade multiphase steel) and aluminum alloy 6022-T4, which was then compared to measurements of stamped U-channel specimens. Results suggest that although the various tension-compression testing strategies can significantly affect the determined values of Yoshida-Uemori model parameters, springback prediction accuracy with this model does not depend on the associated variation of model parameters, at least for the two-dimensional sidewall curl of a U-channel shape. For materials (e.g. MP980) exhibiting a clear Bauschinger effect but insignificant texture anisotropy, the selection of suitable yield criteria (e.g. Hill48), the consideration of elastic modulus degradation combined with the Y-U model can obviously increase the accuracy of springback prediction. In contrast, materials (e.g. AA6022-T4) that exhibit little Bauschinger effect but have significant texture anisotropy, the use of a yield criterion that accounts for anisotropy (e.g. YLD2000-2D) is more important for improving the accuracy of springback prediction.


Kinematic hardening Bauschinger effect Tension-compression testing Yoshida-Uemori model Springback prediction Anisotropy 



The authors wish to strongly acknowledge the technical expertise, guidance and tension-compression testing from Evan Rust and Chris Calhoun under the direction of Tim Foecke at the Center for Automotive Lightweighting, National Institute of Standards and Technology, Gaithersburg, MD.


This study was funded by General Motors Global Research and Development Center (Grant No.: PS21025708).

Compliance with ethical standards

Conflict of interest

We confirm that there are no known conflicts of interest associated with this work.


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© Springer-Verlag France SAS, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Mechanical EngineeringTongji UniversityShanghaiChina
  2. 2.General Motors Global Research & DevelopmentWarrenUSA

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