基于模糊数学与神经网络的刀具材料选择研究  

Research on Cutting Tool Materials Selection Based on Fuzzy Mathematics and Neural Network

作　　者：叶雷[1] 汪永超[1] 李磊[1] 刘晓晨[1] 唐雨[1] 

机构地区：[1]四川大学制造学院,成都610045

出　　处：《组合机床与自动化加工技术》2017年第6期134-136,共3页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家"十一五"科技支撑计划项目(2006BAC02A02)

摘　　要：为了实现对刀具材料的自动选择,在深入解析了影响刀具材料选择的各项因素的情况下,对各项影响因素进行模糊化处理,得到其隶属度作为神经网络的输入。在研究了神经网络的结构及各项参数后,完成了神经网络的设计。继而通过模糊理论与神经网络算法的有机结合,得到一种刀具材料的自适应选择模型。经过实验验证,该模型能够模拟实际情况,对刀具材料的选择做出快速且准确的判断。In order to selecting cutting tool material automatically,in deep parsing of the various factors influencing the cutting tool material selection,fuzzy processed the various factors,gained the membership as input of the neural network. After studying the structure and parameters of neural network,the design of neural network was completed. Then through organically combining the fuzzy theory and the algorithm of neural network,gained a cutting tool material adaptive selection model. Through experimental verification,the model can simulate the actual situation,and make fast and accurate judgment of cutting tool materials selection.

关 键 词：刀具材料 模糊化 隶属度 神经网络 

分 类 号：TH142[一般工业技术—材料科学与工程] TG506[机械工程—机械制造及自动化]