Optimization of Process Parameters Based on Neural Network and Genetic Algorithm

Warpage and shrinkage were taken as the quality index,mold temperature,melt temperature,injection pressure,injection time,packing pressure,packing time and cooling time were optimized by using the taguchi,neural network model and genetic algorithm.Optimal combination of process parameters were obtained and products quality was improved.The injection molding experiment was conducted by using optimal combination of process parameters and the validity of the CAE simulation was verified via measuring.