基于神经网络的齿轮CAPP系统工艺路线研究  

Neural network-based research on process route of gear CAPP system

作　　者：宋珂[1] 蔡安江[1] 张晓伟[1] 

机构地区：[1]西安建筑科技大学

出　　处：《起重运输机械》2010年第4期60-64,共5页Hoisting and Conveying Machinery

基　　金：陕西省自然科学研究基金项目(项目编号:2007E215)

摘　　要：工艺路线安排是CAPP(计算机辅助工艺过程设计)系统的关键技术之一,工艺路线安排的效果在很大程度上决定了CAPP系统的应用水平。通过对齿轮类零件CAPP系统的研究,将神经网络应用于齿轮类零件的CAPP系统的工艺决策中。结果表明,利用神经网络能有效地对加工方法进行选择,并且对工艺路线的优化达到理想的效果,使齿轮类零件的CAPP系统工艺决策更容易、方便,提高了工作效率。Process routing is one of the key technologies in a CAPP （ Computer-Aided Process Design） system and how appropriately the process route is determined affects the level of application of a CAPP system to a great extent. Upon research on a CAPP system dedicated to gears and similar parts, a neural network is used in the decision making on the ap- propriate process route of gear CAPP system. As the result indicates, a selection can be effectively made as to the appropri- ate processing method through using a neural network, and the optimum effect can be attained in optimizing the process route, which in turn makes it easier and more convenient to make process decisions using a gear CAPP system and hence enhanced work efficiency.

关 键 词：齿轮 人工神经网络 CAPP 工艺路线 研究 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术] TH132.41[自动化与计算机技术—计算机科学与技术]