In-process grinding monitoring by acoustic emission
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/225190 |
Resumo: | This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding process. To accomplish such a goal, an experimental work was carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate data acquisition system at 2.5 MHz was used to collect the raw acoustic emission instead of root mean square value usually employed. Many statistics have shown effective to detect burn, such as the root mean square (RMS), correlation of the AE, constant false alarm (CFAR), ratio of power (ROP) and mean-value deviance (MVD). However, the CFAR, ROP, Kurtosis and correlation of the AE have been presented more sensitive than the RMS. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
In-process grinding monitoring by acoustic emissionThis work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding process. To accomplish such a goal, an experimental work was carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate data acquisition system at 2.5 MHz was used to collect the raw acoustic emission instead of root mean square value usually employed. Many statistics have shown effective to detect burn, such as the root mean square (RMS), correlation of the AE, constant false alarm (CFAR), ratio of power (ROP) and mean-value deviance (MVD). However, the CFAR, ROP, Kurtosis and correlation of the AE have been presented more sensitive than the RMS.University of Sao Paulo Unesp Electrical Engineering Department, Bauru-SPUniversity of Sao Paulo Unesp Mechanical Engineering Department, Bauru-SPUniversity of Sao Paulo Unesp Electrical Engineering Department, Bauru-SPUniversity of Sao Paulo Unesp Mechanical Engineering Department, Bauru-SPUniversidade Estadual Paulista (UNESP)Aguiar, Paulo R. [UNESP]Serni, Paulo J.A. [UNESP]Bianchi, Eduardo C. [UNESP]Dotto, Fábio R.L. [UNESP]2022-04-28T20:42:00Z2022-04-28T20:42:00Z2004-09-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 5.1520-6149http://hdl.handle.net/11449/2251902-s2.0-4544374105Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsinfo:eu-repo/semantics/openAccess2024-06-28T13:55:20Zoai:repositorio.unesp.br:11449/225190Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:05:12.735401Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
In-process grinding monitoring by acoustic emission |
title |
In-process grinding monitoring by acoustic emission |
spellingShingle |
In-process grinding monitoring by acoustic emission Aguiar, Paulo R. [UNESP] |
title_short |
In-process grinding monitoring by acoustic emission |
title_full |
In-process grinding monitoring by acoustic emission |
title_fullStr |
In-process grinding monitoring by acoustic emission |
title_full_unstemmed |
In-process grinding monitoring by acoustic emission |
title_sort |
In-process grinding monitoring by acoustic emission |
author |
Aguiar, Paulo R. [UNESP] |
author_facet |
Aguiar, Paulo R. [UNESP] Serni, Paulo J.A. [UNESP] Bianchi, Eduardo C. [UNESP] Dotto, Fábio R.L. [UNESP] |
author_role |
author |
author2 |
Serni, Paulo J.A. [UNESP] Bianchi, Eduardo C. [UNESP] Dotto, Fábio R.L. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Aguiar, Paulo R. [UNESP] Serni, Paulo J.A. [UNESP] Bianchi, Eduardo C. [UNESP] Dotto, Fábio R.L. [UNESP] |
description |
This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding process. To accomplish such a goal, an experimental work was carried out for 15 runs in a surface grinding machine operating with an aluminum oxide grinding wheel and ABNT 1045. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate data acquisition system at 2.5 MHz was used to collect the raw acoustic emission instead of root mean square value usually employed. Many statistics have shown effective to detect burn, such as the root mean square (RMS), correlation of the AE, constant false alarm (CFAR), ratio of power (ROP) and mean-value deviance (MVD). However, the CFAR, ROP, Kurtosis and correlation of the AE have been presented more sensitive than the RMS. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-09-27 2022-04-28T20:42:00Z 2022-04-28T20:42:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 5. 1520-6149 http://hdl.handle.net/11449/225190 2-s2.0-4544374105 |
identifier_str_mv |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, v. 5. 1520-6149 2-s2.0-4544374105 |
url |
http://hdl.handle.net/11449/225190 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128234737369088 |