Research on Optimization Design of Injection Mold for Automobile Filter Shell Model Based on BP Neural Network

Abstract

According to the structural characteristics of the injection molded parts of a filter housing of a car, Moldflow is used to analyze the mold flow of the injection molded parts, and a BP neural network topology model with multiple inputs and multiple outputs is established, and the mold filling time is designed. Refer to training samples such as shrinkage. Through training, the BP neural network model has a smaller relative error and better prediction ability. The network model can be used to optimize injection molding of automotive parts models. Practice has proved that the injection mold of the automobile filter housing model designed by BP neural network model has reasonable structure and high production efficiency.