Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.measurement.2021.109503 http://hdl.handle.net/11449/229177 |
Resumo: | A novel strategy to quantify evenness and prevent faults on the cutting surface of conventional aluminum oxide grinding wheels during the dressing operation was proposed in this research work. The method is based on the use of low-cost piezoelectric diaphragms and new signal processing parameters based on time-frequency and ratio of power metric. Dressing tests were performed on two structurally distinct aluminum oxide grinding wheels. An acoustic emission (AE) sensor was used as a reference for comparative purposes. Subsequently, AE and piezoelectric diaphragm signals were collected and processed through the proposed approach. The results obtained for both grinding wheels by the piezoelectric diaphragm reveal a strong correlation with those obtained by the AE sensor. This indicates that the piezoelectric diaphragm was as efficient as the AE sensor and can be used to monitor the dressing operation of conventional grinding wheels using the proposed method, thus contributing to optimize the grinding process. |
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Repositório Institucional da UNESP |
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Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniquesAcoustic emissionDigital signal processingDressing operationPiezoelectric diaphragmStatistical analysisTime-frequency analysisA novel strategy to quantify evenness and prevent faults on the cutting surface of conventional aluminum oxide grinding wheels during the dressing operation was proposed in this research work. The method is based on the use of low-cost piezoelectric diaphragms and new signal processing parameters based on time-frequency and ratio of power metric. Dressing tests were performed on two structurally distinct aluminum oxide grinding wheels. An acoustic emission (AE) sensor was used as a reference for comparative purposes. Subsequently, AE and piezoelectric diaphragm signals were collected and processed through the proposed approach. The results obtained for both grinding wheels by the piezoelectric diaphragm reveal a strong correlation with those obtained by the AE sensor. This indicates that the piezoelectric diaphragm was as efficient as the AE sensor and can be used to monitor the dressing operation of conventional grinding wheels using the proposed method, thus contributing to optimize the grinding process.São Paulo State University (UNESP) School of Engineering Bauru Department of Electrical EngineeringSão Paulo State University (UNESP) School of Engineering Bauru Department of Mechanical EngineeringPará Federal Institute of Education Science and Technology (IFPA), PA 275, s/n, União, ParauapebasUniversity Center of Lins (UNILINS) School of EngineeringSão Paulo State University (UNESP) School of Engineering Bauru Department of Electrical EngineeringSão Paulo State University (UNESP) School of Engineering Bauru Department of Mechanical EngineeringUniversidade Estadual Paulista (UNESP)Science and Technology (IFPA)School of EngineeringLopes, Wenderson Nascimento [UNESP]Aguiar, Paulo Roberto [UNESP]Dotto, Fábio Romano Lofrano [UNESP]Conceição, Pedro Oliveira [UNESP]Viera, Martin Antonio Aulestia [UNESP]Fernandez, Breno OrtegaBianchi, Eduardo Carlos [UNESP]2022-04-29T08:30:50Z2022-04-29T08:30:50Z2021-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.measurement.2021.109503Measurement: Journal of the International Measurement Confederation, v. 180.0263-2241http://hdl.handle.net/11449/22917710.1016/j.measurement.2021.1095032-s2.0-85110670115Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMeasurement: Journal of the International Measurement Confederationinfo:eu-repo/semantics/openAccess2024-06-28T13:55:00Zoai:repositorio.unesp.br:11449/229177Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:40:52.870795Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques |
title |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques |
spellingShingle |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques Lopes, Wenderson Nascimento [UNESP] Acoustic emission Digital signal processing Dressing operation Piezoelectric diaphragm Statistical analysis Time-frequency analysis |
title_short |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques |
title_full |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques |
title_fullStr |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques |
title_full_unstemmed |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques |
title_sort |
Method for fault detection of aluminum oxide grinding wheel cutting surfaces using a piezoelectric diaphragm and digital signal processing techniques |
author |
Lopes, Wenderson Nascimento [UNESP] |
author_facet |
Lopes, Wenderson Nascimento [UNESP] Aguiar, Paulo Roberto [UNESP] Dotto, Fábio Romano Lofrano [UNESP] Conceição, Pedro Oliveira [UNESP] Viera, Martin Antonio Aulestia [UNESP] Fernandez, Breno Ortega Bianchi, Eduardo Carlos [UNESP] |
author_role |
author |
author2 |
Aguiar, Paulo Roberto [UNESP] Dotto, Fábio Romano Lofrano [UNESP] Conceição, Pedro Oliveira [UNESP] Viera, Martin Antonio Aulestia [UNESP] Fernandez, Breno Ortega Bianchi, Eduardo Carlos [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Science and Technology (IFPA) School of Engineering |
dc.contributor.author.fl_str_mv |
Lopes, Wenderson Nascimento [UNESP] Aguiar, Paulo Roberto [UNESP] Dotto, Fábio Romano Lofrano [UNESP] Conceição, Pedro Oliveira [UNESP] Viera, Martin Antonio Aulestia [UNESP] Fernandez, Breno Ortega Bianchi, Eduardo Carlos [UNESP] |
dc.subject.por.fl_str_mv |
Acoustic emission Digital signal processing Dressing operation Piezoelectric diaphragm Statistical analysis Time-frequency analysis |
topic |
Acoustic emission Digital signal processing Dressing operation Piezoelectric diaphragm Statistical analysis Time-frequency analysis |
description |
A novel strategy to quantify evenness and prevent faults on the cutting surface of conventional aluminum oxide grinding wheels during the dressing operation was proposed in this research work. The method is based on the use of low-cost piezoelectric diaphragms and new signal processing parameters based on time-frequency and ratio of power metric. Dressing tests were performed on two structurally distinct aluminum oxide grinding wheels. An acoustic emission (AE) sensor was used as a reference for comparative purposes. Subsequently, AE and piezoelectric diaphragm signals were collected and processed through the proposed approach. The results obtained for both grinding wheels by the piezoelectric diaphragm reveal a strong correlation with those obtained by the AE sensor. This indicates that the piezoelectric diaphragm was as efficient as the AE sensor and can be used to monitor the dressing operation of conventional grinding wheels using the proposed method, thus contributing to optimize the grinding process. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-01 2022-04-29T08:30:50Z 2022-04-29T08:30:50Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.measurement.2021.109503 Measurement: Journal of the International Measurement Confederation, v. 180. 0263-2241 http://hdl.handle.net/11449/229177 10.1016/j.measurement.2021.109503 2-s2.0-85110670115 |
url |
http://dx.doi.org/10.1016/j.measurement.2021.109503 http://hdl.handle.net/11449/229177 |
identifier_str_mv |
Measurement: Journal of the International Measurement Confederation, v. 180. 0263-2241 10.1016/j.measurement.2021.109503 2-s2.0-85110670115 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Measurement: Journal of the International Measurement Confederation |
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_ |
1808129233531174912 |