A new approach for detection of wear mechanisms and determination of tool life in turning using acoustic emission

被引：73

作者：

Andrade Maia, Luis Henrique ^{[1
]}

Abrao, Alexandre Mendes ^{[2
]}

Vasconcelos, Wander Luiz ^{[3
]}

Sales, Wisley Falco ^{[4
]}

Machado, Alisson Rocha ^{[4
]}

机构：

[1] Univ Fed Minas Gerais, PUC Minas, Grad Program Mech Engn, Belo Horizonte, MG, Brazil

[2] Univ Fed Minas Gerais, Grad Program Mech Engn, Belo Horizonte, MG, Brazil

[3] Univ Fed Minas Gerais, Grad Program Met & Mat Engn, Belo Horizonte, MG, Brazil

[4] Univ Fed Uberlandia, Grad Program Mech Engn, Uberlandia, MG, Brazil

来源：

TRIBOLOGY INTERNATIONAL | 2015年 / 92卷

关键词：

Tool wear mechanisms; Acoustic emission; Power spectral density; Auto-covariance; Turning of hardened steel; SIGNALS; MALFUNCTIONS; STEEL;

D O I：

10.1016/j.triboint.2015.07.024

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A methodology for detection of wear mechanisms and determination of end of life of the cutting tool based on the acoustic emission signals is proposed, using an innovative technique. With this technique, the AE signals generated in hardened AISI 4340 steel turning respond well to the tool wear evolution. The tests were made using common and nanostructured AlCrN coated and uncoated cemented carbide tools. The AE signal spectrum is correlated with the wear mechanisms identified in the cutting tools and compared to the excitation frequency values corresponding to the respective mechanisms validating the identification of the wear mechanisms. The evolution of maximum flank wear resulted in increasing amplitude of average of Power Spectral Density at the end of life. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：519 / 532

页数：14

共 33 条

[1] Baranov V, 2007, TRIBOL INTER ENG, V53, P1
[2] State of the art in hard turning
Bartarya, Gaurav
Choudhury, S. K.
[J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2012, 53 (01) : 1 - 14
[3] Monitoring the tool wear, surface roughness and chip formation occurrences using multiple sensors in turning
Bhuiyan, M. S. H.
Choudhury, I. A.
Dahari, M.
[J]. JOURNAL OF MANUFACTURING SYSTEMS, 2014, 33 (04) : 476 - 487
[4] Wear model in turning of hardened steel with PCBN tool
Camargo, Jose C.
Dominguez, Dany Sanchez
Ezugwu, Emmanuel O.
Machado, Alisson R.
[J]. INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS, 2014, 47 : 61 - 70
[5] Particle monitoring method using acoustic emission signal for analysis of slider/disk/particle interaction
Chung, KH
Oh, JK
Moon, JT
Kim, DE
[J]. TRIBOLOGY INTERNATIONAL, 2004, 37 (10) : 849 - 857
[6] Dias MHC, 2003, ELECT ENG
[7] Acoustic emission signals for tool wear identification
Dolinsek, S
Kopac, J
[J]. WEAR, 1999, 225 : 295 - 303
[8] Wear behavior of some cutting tool materials in hard turning of HSS
El Hakim, M. A.
Abad, M. D.
Abdelhameed, M. M.
Shalaby, M. A.
Veldhuis, S. C.
[J]. TRIBOLOGY INTERNATIONAL, 2011, 44 (10) : 1174 - 1181
[9] Discrete acoustic emission waves during stick-slip friction between steel samples
Ferrer, C.
Salas, F.
Pascual, M.
Orozco, J.
[J]. TRIBOLOGY INTERNATIONAL, 2010, 43 (1-2) : 1 - 6
[10] Real-time acoustic emission monitoring for surface damage in hard machining
Guo, YB
Ammula, SC
[J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2005, 45 (14) : 1622 - 1627

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