基于神经网络的注塑模具材料选择系统  

A neural network-based injection mold material selection system

作　　者：施平[1] 于华[1] 黎春[1] 

机构地区：[1]哈尔滨工业大学机械工程系,黑龙江哈尔滨150001

出　　处：《哈尔滨工业大学学报》2001年第1期28-31,共4页Journal of Harbin Institute of Technology

基　　金：黑龙江省自然科学基金资助项目

摘　　要：分析了注塑模具材料与注塑件之间的作用关系 ,采用模糊数学方法来表示对模具材料的选定度 ,提出了一种基于人工神经网络的注塑模具材料选择方法 .通过训练样本使BP神经网络学习材料选择知识 ,利用测试样本对此网络性能进行验证 .结果表明 ,此系统可以较好地解决模具材料的选择问题 .Presents the neural network based injection mold material selection system established by analysing the interaction between injection mold material and injection molded parts and then representing the selection of mold material by a fuzzy mathematic method. Which gets the back propagation neural network trained with materials selection knowledge, and uses a testing sample set to check the performance of neural network and concludes from the results that the neural network approach can be used for selection of material for injection molds fairly well.

关 键 词：神经网络 注塑模具 材料选择 注塑制品 

分 类 号：TQ320.52[化学工程—合成树脂塑料工业]