Springback Prediction of Dp600 Steels for Various Material Models

Abstract

The springback phenomenon, which is an undesired elastic deformation, results in geometrical inaccuracies in the assembly line. Therefore, it should be predicted accurately in order to avoid mismatches of the components in the assembly processes. For an accurate prediction and die compensation, it should be known a priori, how the parameters such as temperature, blank holder force, blank thickness and friction affect springback behavior. In this paper, springback behavior of DP600 steel was examined. An analytical model based on Hill's 48 yield criterion for anisotropic materials was used to validate a finite element model for prediction of springback after a stretch bending process. In the finite element analyses, two different yield criteria, which are Hill48 and Barlat's three-parameter anisotropic plasticity model, were used to predict the springback angle. Finally, the results obtained from the analytical model and finite element analyses, together with the results of two commercial programs generally used in industry were compared.