Application of ANFIS to Springback Prediction in Sheet Metal Bending

Springback is a very important factor to effect the quality of sheet metal forming. Since it is a multi-variable coupled and high nonlinear problem, there hasn't been a effective either analytical or numerical approach proposed up to now . In this paper, a approach is proposed to predict the springback in sheet metal bending, which take the advantage of the excellent ablity of describing nonlinear problems of ANFIS . ANFIS is able to predict the springback with the training set obtained by using FEM software. Experiment verifys the effectivity of this approach.