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Title: Estimation of the Tool Condition by Applying the Wavelet Transform to Acoustic Emission Signals

Abstract

This work follows the search of parameters to evaluate the tool condition in machining processes. The selected sensing technique is acoustic emission and it is applied to a turning process of steel samples. The obtained signals are studied using the wavelet transformation. The tool wear level is quantified as a percentage of the final wear specified by the Standard ISO 3685. The amplitude and relevant scale obtained of acoustic emission signals could be related with the wear level.

Authors:
 [1];  [2];  [3];  [4];  [5]
  1. Departamento de Ingenieria Electronica, FRBA, Universidad Tecnologica Nacional, Medrano 951, (C1179AAQ) Buenos Aires (Argentina)
  2. ECyT, Universidad Nacional de Gral. San Martin, San Martin, Martin de Irigoyen 3100, (1650) San Martin, Buenos Aires (Argentina)
  3. Grupo de Ondas Elasticas, UA ENDE, CAC, Comision Nacional de Energia Atomica, Av. General Paz 1499, (1650) San Martin, Buenos Aires (Argentina)
  4. (B2804) Campana, Buenos Aires (Argentina)
  5. Universidad Favaloro, Av. Belgrano 1723, (C1093AAF) Buenos Aires (Argentina)
Publication Date:
OSTI Identifier:
21054978
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 894; Journal Issue: 1; Conference: Conference on review of progress in quantitative nondestructive evaluation, Portland, OR (United States), 30 Jul - 4 Aug 2006; Other Information: DOI: 10.1063/1.2718030; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; ACOUSTIC EMISSION TESTING; AMPLITUDES; DATA PROCESSING; MACHINING; SIGNALS; STEELS; TRANSFORMATIONS; WEAR

Citation Formats

Gomez, M. P., Piotrkowski, R., Ruzzante, J. E., FRD, Universidad Tecnologica Nacional, San Martin 1171,, and D'Attellis, C. E.. Estimation of the Tool Condition by Applying the Wavelet Transform to Acoustic Emission Signals. United States: N. p., 2007. Web. doi:10.1063/1.2718030.
Gomez, M. P., Piotrkowski, R., Ruzzante, J. E., FRD, Universidad Tecnologica Nacional, San Martin 1171,, & D'Attellis, C. E.. Estimation of the Tool Condition by Applying the Wavelet Transform to Acoustic Emission Signals. United States. doi:10.1063/1.2718030.
Gomez, M. P., Piotrkowski, R., Ruzzante, J. E., FRD, Universidad Tecnologica Nacional, San Martin 1171,, and D'Attellis, C. E.. Wed . "Estimation of the Tool Condition by Applying the Wavelet Transform to Acoustic Emission Signals". United States. doi:10.1063/1.2718030.
@article{osti_21054978,
title = {Estimation of the Tool Condition by Applying the Wavelet Transform to Acoustic Emission Signals},
author = {Gomez, M. P. and Piotrkowski, R. and Ruzzante, J. E. and FRD, Universidad Tecnologica Nacional, San Martin 1171, and D'Attellis, C. E.},
abstractNote = {This work follows the search of parameters to evaluate the tool condition in machining processes. The selected sensing technique is acoustic emission and it is applied to a turning process of steel samples. The obtained signals are studied using the wavelet transformation. The tool wear level is quantified as a percentage of the final wear specified by the Standard ISO 3685. The amplitude and relevant scale obtained of acoustic emission signals could be related with the wear level.},
doi = {10.1063/1.2718030},
journal = {AIP Conference Proceedings},
number = 1,
volume = 894,
place = {United States},
year = {Wed Mar 21 00:00:00 EDT 2007},
month = {Wed Mar 21 00:00:00 EDT 2007}
}