塑料科技2018，Vol.46Issue(3)：102-106,5.DOI:10.15925/j.cnki.issn1005-3360.2018.03.016
基于BP-TGA算法的注塑成型工艺参数优化
Optimization on Injection Process Parameters Base on BP-TGA Algorithm
摘要
Abstract
Taking the mouse shell as an example,using orthogonal test data as training samples and taking warpage deformation as the goal,the best BP network model was found out after repeated training as an evaluation system for the combination of quality parameters of injection molding.Base on the BP network model and the tabu genetic algorithm (BP-TGA algorithm) as optimization algorithm to optimize the injection molding process parameters combination and find out the lowest warping deformation parameter combination.Simulation experiments show that BP-TGA algorithm can efficiently and accurately identify the best process parameter combinations in a specified range,thus greatly improving product design efficiency and product quality.关键词
注塑工艺/正交试验/BP神经网络/BP-TGA算法Key words
Injection process/Orthogonal experiment/BP neural network/BP-TGA algorithm分类
化学化工引用本文复制引用
曹素兵,朱婵..基于BP-TGA算法的注塑成型工艺参数优化[J].塑料科技,2018,46(3):102-106,5.基金项目
德阳市科技支撑支助项目(2014zx070-6) （2014zx070-6）
