为了准确地描述铝合金板料变形过程中的力学特性,采用参数识别的方法研究材料参数的确定问题。该方法基于凸模胀形试验,通过优化方法获取材料参数。优化计算采用了有限元方法、拉丁方抽样、Kriging近似模型以及多岛遗传算法。对铝合金板2D12的材料参数识别研究表明,经参数识别的Hill’90各向异性屈服准则能更好地描述板料的力学行为。该方法为板料成形有限元分析中材料参数的获取提供了一种有效的途径。
To accurately describe the mechanical properties of aluminium alloy sheet during deformation, an inverse identification was presented to deal with material parameters from the popular punch stretch test. In the identification procedure, the optimization strategy combines finite element method (FEM), Latin hypercube sampling (LHS), Kriging model and multi-island genetic algorithm (MIGA). The proposed approach is used on material parameter identification of aluminium alloy sheet 2D12. The anisotropic yield criterion Hill’90 is discussed. The results show that the Hill’90 anisotropic yield criterion with identified anisotropic material parameters has a good potential in describing the anisotropic behaviours. It provides a way to obtain the material parameters for FE simulations of sheet metal forming.