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

被引：0

作者：

Huang, Min ^{[1
]}

Liu, Xiu Li ^{[1
]}

Yan, Le ^{[1
]}

机构：

[1] Beijing Informat Sci & Technol Univ, Mech & Elect Engn Coll, Beijing, Peoples R China

来源：

MANUFACTURING ENGINEERING AND AUTOMATION II, PTS 1-3 | 2012年 / 591-593卷

关键词：

LabVIEW; Tool wear; Acoustic Emission; Vibration;

D O I：

10.4028/www.scientific.net/AMR.591-593.1844

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：1844 / 1848

页数：5