Springback Prediction on Multi-steps Stamping Process for U-shaped Auto Longeron Based on GR Neural Network

According to the drawback that the prediction error was larger for the forming springback of longeron part after single operation,the control analysis for multi-steps forming springback of automobile longeron part was put forward;the generalized regression neural network(GRNN) springback prediction model was established based on numerical simulation,and the model was used to do some simulated prediction for springback value under some important technological parameters,such as different fillet of dies and blank-holder force.The results show that the prediction values of generalized regression neural network model and simulated test value have good inosculation,which proves that the generalized regression neural network model can accurately predict the springback distribution of longeron after multistep.