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

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.