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基于遗传算法的汽车复杂注塑件成形工艺参数优化
引用本文:叶欢月,贾相武,徐冰冰,宋小文. 基于遗传算法的汽车复杂注塑件成形工艺参数优化[J]. 杭州应用工程技术学院学报, 2009, 0(3): 210-212
作者姓名:叶欢月  贾相武  徐冰冰  宋小文
作者单位:[1]浙江交通技师学院汽车工程系,浙江金华321015 [2]浙江交通职业技术学院机电系,杭州311112 [3]浙江大学机械与能源工程学院,杭州310027
摘    要:以汽车外饰件中的观后镜为例子,以注塑件成形质量中的翘曲量为优化目标,依据回归分析和神经网络建立数学模型,并比较其预测精度,得到有效的预测模型;利用遗传算法对得到的数学模型进行寻优,达到对注塑工艺条件优化的目的,以期缩短生产时间,提高制件质量。

关 键 词:翘曲  工艺参数  神经网络  遗传算法

Parameter optimization on complex injection molding process based on genetic algorithm
YE Huan-yue,JIA Xiang-wu,XU Bing-bing,SONG Xiao-wen. Parameter optimization on complex injection molding process based on genetic algorithm[J]. Journal of Hangzhou Institute of Applied Engineering, 2009, 0(3): 210-212
Authors:YE Huan-yue  JIA Xiang-wu  XU Bing-bing  SONG Xiao-wen
Affiliation:1.Department of Automotive Engneering,Zhejiang Traffic Technician Institute,Jinhua 321015,China;2.Department of Mechanical and Electric Engineering,Zhejiang institute of communications,Hangzhou 311112,China;3.College of Mechanical and Energy Engineering,Zhejiang University,Hangzhou 310027,China)
Abstract:Taking rear view mirror for example,we set the warpage of the plastic as the goal of the optimization.We build mathematic model of injection moulding by regression analysis and neural networks,and compare the effects of the two modles,and get the better one.The best modle is used as a fit function in the genetic algorithm(GA),with which we can give the most appropriate parameter.Based on this method,we can shorten the production time and improve the quality of the plastic part.
Keywords:warpage  orthogonal experiment  neural network(NN)  genetic algorithm(GA)
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