基于声发射信号的高速铣削过程监测技术  

AE-Based Monitoring Technology of High Speed Milling Process

作　　者：龚廷恺[1] 王细洋[1] 

机构地区：[1]南昌航空大学航空与机械工程学院

出　　处：《航空制造技术》2009年第7期80-83,共4页Aeronautical Manufacturing Technology

基　　金：航空科学基金(2006ZE56007)资助项目

摘　　要：叙述了如何将声发射技术应用于航空铝合金的高速铣削过程监测,介绍了监测装置硬件系统和信号数据采集平台的构成,最后运用小波分析进行信号分解,计算分解后的各频段能量,并从频段的能量对比中发现,信号能量可以作为刀具磨损的特征参数。It is described how to use acoustic emission （AE） technology for aviation aluminum alloy high-speed milling process monitoring. A monitoring device hardware systems and the composition of signal data acquisition platform are introduced. The signals are decomposed by using the wavelet analysis, and then each frequency band of energy after decomposition is computed. From the comparison of each frequency band of energy, it is found that signal energy can be used as the characteristic parameter of the tool wear.

关 键 词：切削过程监控 小波变换 虚拟仪器 刀具磨损 

分 类 号：TG54[金属学及工艺—金属切削加工及机床]