基于神经网络的硬质合金刀片槽型断屑范围的预报  

THE PREDICTION OF CHIP-BREAKDOWN RANGE OF BREAKER IN CEMENTED CAEBIDE INSERTS BASED ON THE THEORY OF ARTIFICAL NEURAL NETWORKS

作　　者：陆涛[1] 陈永洁[1] 陈吉红[1] 师汉民[1] 

机构地区：[1]华中理工大学机械学院,湖北省武汉市430074

出　　处：《硬质合金》1995年第1期49-52,共4页Cemented Carbides

摘　　要：本文是在神经网络理论的基础上，对硬质合金刀片槽型进行了三维特征提取，并详细介绍了各类槽型的待征简化规则及依据，最后用神经网络进行预报，给出几种典型刀片的预报区域图。This paper based on the theory of the artifical neural networks (ANN), the features of the carbide groove are extracted,and the sinplified rules of the feature of the sorts are defined. At last,the chip of break range graphs of some typical grooves are forcasted.

关 键 词：神经网络 断屑范围 刀片 硬质合金 

分 类 号：TG711[金属学及工艺—刀具与模具]