具有自学习功能的车削专家系统的研究  

Research on Turning Expert System with Self-learning

作　　者：周志雄[1] 杨峰[1] 黄威武 汪亚平[1] 汤爱民 肖思来 

机构地区：[1]湖南大学机械与运载工程学院,湖南长沙410082 [2]株洲钻石切削刀具股份有限公司,湖南株洲412007

出　　处：《湖南大学学报（自然科学版）》2010年第8期24-28,共5页Journal of Hunan University:Natural Sciences

基　　金：国家科技重大专项资助项目(2009ZX04012-031)

摘　　要：针对传统金属切削数据库中数据冗余、知识贫乏、切削参数与实际切削加工条件结合不紧密等问题,研究开发了一个具有自学习功能的硬质合金车削专家系统.该系统采用切削实验得出的浓缩型数学模型方式存储切削用量数据,利用自学习功能对切削数学模型进行修正,可以推荐合理优化的刀具、切削速度和刀具寿命等加工参数,预测加工质量、金属去除率等.In order to overcome the weakness of redundant data,poor knowledge,cutting parameters being not closely integrated with the real cutting conditions in traditional metal cutting databases,an expert system with self-learning function for turning using carbide turning tools was presented.In this system,the cutting parameters were stored by using the concentrated mathematical models obtained from the cutting experiment,the cutting mathematical models were amended by the self-learning function,thus the reasonable and optimal turning tools,cutting speed as well as the life of turning tools etc,can be recommended,and the processing quality and moved metal can be predicted.A special turning system with its own feature will be formed.

关 键 词：专家系统 数学模型 硬质合金 车削刀具 自学习 

分 类 号：TG50[金属学及工艺—金属切削加工及机床]