An automatic system based on vibratory analysis for cutting tool wear monitoring

被引：91

作者：

Rmili, Wafaa ^{[1
]}

Ouahabi, Abdeljalil ^{[2
]}

Serra, Roger ^{[3
]}

Leroy, Rene ^{[1
]}

机构：

[1] Univ Tours, PolytechTours, Lab Mecan & Rheol, EA 2640, F-37200 Tours, France

[2] Univ Tours, PolytechTours, Signal & Image Grp, F-37200 Tours, France

[3] INSA Ctr Val de Loire, Lab Mecan & Rheol, EA 2640, F-41034 Blois, France

来源：

MEASUREMENT | 2016年 / 77卷

关键词：

Cutting tool wear measurement; Vibratory measurement; Wear indicator; Automatic detection system; TURNING OPERATIONS; ACOUSTIC-EMISSION;

D O I：

10.1016/j.measurement.2015.09.010

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The aim of this work is to develop a new, simple to use and reliable automatic method for detection and monitoring wear on the cutting tool. To achieve this purpose, the vibratory signatures produced during a turning process were measured by using a three-axis accelerometer. Then, the mean power analysis was proposed to extract an indicator parameter from the vibratory responses, to be able to describe the state of the cutting tool over its lifespan. Finally, an automatic detector was proposed to evaluate and monitor tool wear in real time. This detector is efficient, simple to operate in an industrial environment and does not require any protracted computing time. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：117 / 123

页数：7

共 19 条

[1] Drilling wear detection and classification using vibration signals and artificial neural network [J].

Abu-Mahfouz, I .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2003, 43 (07) :707-720

[2] Sensor signals for tool-wear monitoring in metal cutting operations - a review of methods [J].

Dimla, DE .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2000, 40 (08) :1073-1098

[3]

Dimla E., 1998, MULTIVARIATE TOOL CO

[4] Tool condition monitoring in drilling using vibration signature analysis [J].

ElWardany, TI ;

Gao, D ;

Elbestawi, MA .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1996, 36 (06) :687-711

[5] A summary of methods applied to tool condition monitoring in drilling [J].

Jantunen, E .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2002, 42 (09) :997-1010

[6] Detection process approach of tool wear in high speed milling [J].

Kious, M. ;

Ouahabi, A. ;

Boudraa, M. ;

Serra, R. ;

Cheknane, A. .

MEASUREMENT, 2010, 43 (10) :1439-1446

[7] TWEM, a method based on cutting forces - monitoring tool wear in face milling [J].

Kuljanic, E ;

Sortino, M .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2005, 45 (01) :29-34

[8]

LI D, 1990, INT J MACH TOOL MANU, V30, P579

[9] A brief review: acoustic emission method for tool wear monitoring during turning [J].

Li, XL .

INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2002, 42 (02) :157-165

[10] TOOL-WEAR MONITORING IN MACHINE TURNING [J].

LIM, GH .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1995, 51 (1-4) :25-36

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