Springback prediction of sheet metal in the deep drawing process using elastoplastic phenomenological models

Abstract

The deep drawing is one of the widely used processes in industry to give suited forms to metal sheets. During deformation the sheet and tools undergo high stresses. The sheet must carry on the deformation until the end of the process. To prevent defects on the final part, like springback or necking, better behaviour models must be used in the numerical simulation. Our work concerns the prediction of springback phenomena using two hardening models written in the frame of phenomenological elastoplasticity. These models were implemented in the ABAQUS finite element software using an accurate, implicit time integration scheme. First, sequential rheological tests have been simulated in order to show the ability of each model to reproduce the effect of strain path changes. Then, an example of deep drawing has been considered to study the effect of the two hardening models on the prediction of springback.