零件加工质量(尺寸和表面粗糙度)在线检测技术研究  

Research on On-line Detecting Method and Key Technologies for Part Quality (Dimension and Surface Roughness)

作　　者：陈爱弟[1] 王信义[1] 

机构地区：[1]北京理工大学机械工程与自动化学院,北京100081

出　　处：《中国工程科学》2000年第12期73-77,共5页Strategic Study of CAE

基　　金：国防科技基金预研资助项目 !(96J18 3 1BQ0 14 7)

摘　　要：文章研究零件加工质量在线检测的方法和关键技术。在分析在线检测工件尺寸和表面粗糙度检测方法及特点的基础上 ,建立检测工件尺寸的神经网络和检测表面粗糙度的模糊神经网络 ,并且建立了零件加工质量在线检测系统。To research on on line detecting method and key technologies for part quality,based on the analysis of methods and features of on line detecting of part dimension and surface roughness, an artificial neural network system for on line detecting of part dimension and a fuzzy neural network system for on line detecting of part surface roughness are developed. The Scheme of on line detecting method for part quality can detect part dimension and surface roughness correctly. [

关 键 词：在线检测 神经网络 模糊神经网络 尺寸精度 表面粗糙度 零件加工质量 

分 类 号：TG8[金属学及工艺—公差测量技术]