Open AccessParameter identification of 3D yield functions based on a virtual material testing procedure
Author(s) -
Alexander Butz,
Alexander Wessel,
Jan Pagenkopf,
Dirk Helm
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/651/1/012078
Subject(s) - anisotropy , yield (engineering) , materials science , identification (biology) , crystal plasticity , yield surface , work (physics) , plasticity , field (mathematics) , plane (geometry) , stress space , plane stress , stress (linguistics) , structural engineering , geometry , mechanical engineering , metallurgy , composite material , finite element method , mathematics , engineering , constitutive equation , physics , optics , linguistics , botany , philosophy , pure mathematics , biology
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 [1] and Barlat [2, 3].