High Strength Steel is more used in automotive industry to combine safety improvements and weight reductions of the vehicles. However, these steels raise new challenges for manufacturer, especially for springback and its prediction. Finite Element Analysis is widely used for the prediction of springback but accuracy is strongly depending on numerical as well as physical parameters. Such parameters affecting prediction are for example frictional behavior, constitutive model, loci function. In this paper the sensitivity of friction coefficients and the influence of some material laws on the springback prediction were studied and analyzed in details. Several numerical models are investigated in this work in order to allow the different aspects of materials mechanical behavior to be better described: isotropic work-hardening (Swift, Hockett-Sherby, SHS), isotropic-kinematic hardening, yield loci (Hill 48, Hill 90 and Barlat 91). In this study, we use an industrial example of the deep drawing process: the side sill closing with the material steel TRIP800. All the simulations are carried out with the commercial code Pam-Stamp 2G and comparison with the experimental results are presented.

高强度钢在汽车工业中越来越多地用于提高车辆的安全性和减轻重量。但是，这些钢给制造商带来了新的挑战，尤其是回弹及其预测。有限元分析被广泛用于回弹的预测，但是精度在很大程度上取决于数值和物理参数。这种影响预测的参数例如是摩擦行为，本构模型，轨迹函数。本文详细研究和分析了摩擦系数的敏感性以及一些材料定律对回弹预测的影响。为了使材料力学性能的不同方面得到更好的描述，在这项工作中研究了几种数值模型：各向同性加工硬化（Swift，Hockett-Sherby，SHS），各向同性运动硬化，屈服位点（Hill 48，Hill 90和Barlat 91）。在这项研究中，我们使用了深冲过程的工业示例：用材料TRIP800将侧梁关闭。所有仿真均使用商品代码Pam-Stamp 2G进行，并与实验结果进行了比较。