The Application of Radial Basis Function Neural Network in Springback Prediction of Sheet Flanging
Li Fen Han, Zi Long Liao · Applied Mechanics and Materials · 2014
Based on the convex (concave) arc sheet flanging experiment data, the springback prediction research in the sheet flanging was carried out, using radial basis function (RBF) neural network (NN) and the dynamic structure design method. By comparing with the experiment results, the validity of this method was verified.