Parameter identification of 3D yield functions based on a virtual material testing procedure
The parameter identification of anisotropic 3D yield functions for sheet metals based on experimental data is very difficult, because material properties associated to the out-of-plane stress states cannot be directly measured. An alternative and promising approach for identifying parameters of anisotropic yield models, and particularly for 3D yield models, is the concept of virtual testing. Within the presented work, a full-field microstructure simulation framework based on a crystal plasticity (CP) model is used to determine macroscopic mechanical properties of a ferritic deep drawing steel DX56 within 3D stress space. The results are utilized to identify the parameter of anisotropic 2D and 3D yield models according to Hill  and Barlat [2, 3].