Monitoring Vibration and Tool Wear by Pattern Recognition of Variance of Dynamic Force

被引：0

作者：

Liu Ping ^{[1
]}

Zhang Zhen-lie ^{[1
]}

Ma Su-chang ^{[1
]}

Wang Hong-jun ^{[1
]}

机构：

[1] Tianjin Univ Technol & Educ, Coll Mech Engn, Tianjin 300222, Peoples R China

来源：

NATIONAL CONFERENCE OF HIGHER VOCATIONAL AND TECHNICAL EDUCATION ON COMPUTER INFORMATION | 2010年

关键词：

tool wear; monitoring; cutting force;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

In the automation of monitoring the status of cutting process, it is very important to monitor cutting vibration and tool failure. It has been found that the variance,autocorrelation function and autoregressive coefficient of dynamic cutting force are most sensitive to the status variation in the cutting process and closely related with the cutting vibration or tool wear, and can effectively be used in the pattern recognition of monitoring the cutting vibration or tool wear.

引用

页码：14 / 17

页数：4

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