An effective sensor for tool wear monitoring in face milling: Acoustic emission-Reference-Cited by-同舟云学术

An effective sensor for tool wear monitoring in face milling: Acoustic emission

Published:2008-06 Issue:3 Volume:33 Page:227-233
ISSN:0256-2499
Container-title:Sadhana
language:en
Short-container-title:Sadhana

Author:

Mathew M. T.,Pai P. Srinivasa,Rocha L. A.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s12046-008-0016-3.pdf

Reference3 articles.

1. Dimla D E Jr, Lister P M, Leighton N J 1997 Neural Network Solutions to the Tool Condition Monitoring problem in Metal Cutting—A Critical Reviewof Methods. Int. J. Mach. Tools Manufact. 37(9): 1219–1241

2. Lister P M, Barrow G 1986 Tool condition monitoring systems. Proc. of the 26th Int. Machine Tool Design and Res. Conf. pp 271–288

3. Pai P S, Rao P K R 1998 In-process detection of tool wear in face milling using acoustic emission. Second International Tribology Conference, Toronto, Canada, Oct 25–28

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