模糊回归分析在平头立铣刀磨损监测中的应用  

Application of fuzzy regression monitoring the flat end mills wear condition

作　　者：李锡文[1] 杨明金[1] 黎邵平[1] 

机构地区：[1]华中科技大学机械科学与工程学院,湖北武汉430074

出　　处：《华中科技大学学报（自然科学版）》2007年第10期70-73,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家重点基础研究发展计划资助项目(2005CB724101);国家自然科学基金重点资助项目(50575087)

摘　　要：通过分析铣刀渐进磨损过程的特点,从切削力、主轴端振动位移、主轴端振动加速度和主轴电机功率等信号中提取了8个反映刀具磨损状态的特征参数,提出用模糊回归分析多传感器信息融合方法监测铣刀后刀面磨损带面积.在立式加工中心上的实验表明,模糊回归分析计算的后刀面磨损带面积与实际测量值基本相符,计算效率高,能够满足小直径立铣刀磨损在线监测要求,具有较强的有效性和工程实用性.The wear land area was proposed as another index for estimating the wear out of the flat end mills.In this research,on the basis of analyses of the flat end mills progressive wear characteristics,8 characteristic parameters reflecting conditions of the flat end mills were selected from such information as cutting forces,vibrating displacement and acceleration at the spindle end,and power consumption of the main electromotor.The multi-sensor information fusion technique was brought forward using fuzzy regression monitoring the width of major flank wear land of the flat end mills.Experiments on a vertical machining center confirmed that the multi-sensor information fusion technique of fuzzy regression presented in the research is the efficient computed speed,can meet the requirements of the flat end mills monitoring with strong validity and engineering practicability.

关 键 词：立铣刀 磨损 监测 模糊回归分析 

分 类 号：TG714[金属学及工艺—刀具与模具]