A novel approach for real-time prediction and prevention of tool chipping in intermittent turning machining

被引：21
|
作者：
Hassan, M. [1 ]
Sadek, A. [2 ]
Damir, A. [2 ]
Attia, M. H. [1 ,2 ]
Thomson, V [1 ]
机构：
[1] McGill Univ, Dept Mech Engn, Montreal, PQ, Canada
[2] Natl Res Council Canada, Aerosp Mfg, Montreal, PQ, Canada
来源：
CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2018年 / 67卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Cutting; Condition monitoring; Prefailure prediction; ACOUSTIC-EMISSION;
D O I：
10.1016/j.cirp.2018.04.065
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An integrated tool condition monitoring system, based on a novel signal processing approach, for online prediction and prevention of tool chipping in intermittent turning is presented. It identifies the unstable crack propagation features of the prefailure phase, independent of the cutting parameters and workpiece material. A correlation between the chipping size and these features was developed for decision making, to protect machined surfaces. Experimental validation results confirmed the accuracy of the proposed system. The time required for signal processing, decision making and communication with the machine controller allows stopping the operation before part damage. No such system is presently available. (C) 2018 Published by Elsevier Ltd on behalf of CIRP.
引用
收藏
页码：41 / 44
页数：4
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