Prediction for the Warpage of the Plastic Sheet Based on Artificial Neural Network

Abstract

Moldflow is used to simulate the warpage of the plastic sheet under different molding process parameters. A 4-12-1 BP neural network model is established according to the simulated warpage data. Testing samples are used to verify the accuracy of the BP model. The warpage under the other molding process parameters are predicted by applying the established BP model. The results show that the combination of neural network and Moldflow can not only improve the molding process parameters effectively but also optimize the quality of the products.