Advanced monitoring of machining operations

被引：967

作者：

Teti, R. ^{[1
]}

Jemielniak, K. ^{[2
]}

O'Donnell, G. ^{[3
]}

Dornfeld, D. ^{[4
]}

机构：

[1] Univ Naples Federico II, Naples, Italy

[2] Warsaw Univ Technol, PL-00661 Warsaw, Poland

[3] Univ Dublin Trinity Coll, Dublin 2, Ireland

[4] Univ Calif Berkeley, Berkeley, CA 94720 USA

来源：

CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2010年 / 59卷 / 02期

基金：

欧盟第七框架计划;

关键词：

Machining; Sensor monitoring; Advanced signal processing; CUTTING FORCE MEASUREMENT; ACOUSTIC-EMISSION SIGNALS; FLUTE BREAKAGE DETECTION; TOOL FAILURE-DETECTION; FLANK WEAR ESTIMATION; IN-PROCESS; NEURAL-NETWORKS; WAVELET TRANSFORM; CHATTER DETECTION; DETECTION SYSTEM;

D O I：

10.1016/j.cirp.2010.05.010

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

CIRP has had a long history of research and publication on the development and implementation of sensor monitoring of machining operations including tool condition monitoring, unmanned machining, process control and, more recently, advanced topics in machining monitoring, innovative signal processing, sensor fusion and related applications. This keynote follows a recent update of the literature on tool condition monitoring and documents the work of the cutting scientific technical committee in CIRP. The paper reviews the past contributions of CIRP in these areas and provides an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring. Application examples to industrial processes including reconfigurable sensor systems are reported. Future challenges and trends in sensor based machining operation monitoring are presented. (C) 2010 CIRP.

引用

页码：717 / 739

页数：23

共 235 条

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