Study on High-grade CNC Machine Tool Wear Monitoring Methods and Experimental System

摘要：

　　Today,CNC machine tools are moving in the high-speed,high precision,heavy and complex processing of direction,leading to early failure in service due to machine performance,if not timely diagnosis and early warning,will result in waste increases,fluctuations in the quality,productivity decline.Therefore,to ensure reliable operation of CNC machine tools is very important.To build fault diagnosis of CNC machine tools and get test method as the goal,the tool wear experiments are carried out.Signals for cutting tool with different wear in milling process are detected,acquisited and analyzed through vibration sensors and acoustic emission sensors on the milling tools.To LabVIEW8.6 as development platform,a fault diagnosis experimental system of CNC machine tools is developed,including data acquisition module,signal analysis module,fault diagnosis module.

关键词： LabVIEW Tool wear Acoustic Emission Vibration

作者: Min Huang Xiu Li Liu Le yan

作者单位: Mechanical & Electrical Engineering College,Beijing Information Science & Technology University

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1844-1848

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）