Abstract
Advanced high strength steels are widely used in the automotive industry due to their appropriate strength to weight ratio. This alloy has unique hardening behavior and variable unloading elastic modulus. In this paper, an analytical model is introduced to predict springback in U-shaped bending process of normal and pre-strained DP780 dual phase steel stripes. It is based on the Hill48 yield criterion and plane strain condition. In this model, the effect of forming history, sheet thinning and the motion of the neutral surface on the springback is taken into account. The anisotropic nonlinear kinematic hardening model (ANK) is used to consider the impact of complex deformation including stretching, bending and reverse bending. This model is able to investigate the Bauschinger effect, transient behavior and permanent softening. Also, a nonlinear function of plastic strain is implemented to capture the variable unloading elastic modulus. This model is used for the Numisheet2011 benchmark U-shaped bending problem. The effect of the sheet holder force, the coefficient of friction, thickness, material anisotropy, hardening parameters, pre-strain and variable elastic modulus on the sheet springback is studied. It can be seen that analytical model with constant young's modulus has better accuracy in predicting springback angles than FEM solutions. Also in the case of variable young's modulus, FEM solution has better agreement with experiments in comparison with the analytical model.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.