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Characterization of Advanced High Strength Steel Sheets in View of the Numerical Prediction of Sidewall Curl

机译:基于侧壁卷曲的数值预测表征高级高强度钢板

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摘要

In this study, a procedure for characterizing advanced high strength steel sheets is presented in view of determining the material parameters for constitutive models that can be used for accurate prediction of springback and sidewall curl. The mechanical properties of DP980 and TRIP780 sheets were obtained experimentally, and their cyclic tension-compression behaviour was modeled with the Chaboche nonlinear kinematic hardening model and the Yoshida-Uemori two-surface plasticity model that are implemented in LS-DYNA. The unloading moduli were determined from monotonic tension tests at various prestrain levels. An inverse approach based on linear and quadratic response surfaces created by Sequential Strategy with Domain Reduction (SRSM) methodology using LS-OPT software was used and investigated to identify specific material parameters in each constitutive model. It was found that the quadratic meta-model with a quadratic approximation of history variables was able to accurately reproduce the cyclic stress-strain data when multiple tension-compression cycles are considered.
机译:在这项研究中,鉴于确定本构模型的材料参数(可用于准确预测回弹和侧壁卷曲),提出了表征高级高强度钢板的程序。实验获得了DP980和TRIP780板材的力学性能,并使用在LS-DYNA中实现的Chaboche非线性运动硬化模型和Yoshida-Uemori两面可塑性模型对它们的循环拉伸压缩行为进行了建模。卸载模量是在各种预应变水平下由单调张力测试确定的。使用了基于线性和二次响应面的逆方法,该方法是使用LS-OPT软件通过采用域缩减的顺序策略(SRSM)方法创建的,并且研​​究了该方法,以识别每个本构模型中的特定材料参数。研究发现,当考虑多个拉压循环时,具有历史变量二次近似的二次元模型能够准确地再现循环应力应变数据。

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