In-process grinding monitoring through acoustic emission

Detalhes bibliográficos
Autor(a) principal: Aguiar,Paulo R.
Data de Publicação: 2006
Outros Autores: Serni,Paulo J. A., Dotto,Fábio R. L., Bianchi,Eduardo C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782006000100014
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 processes. 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 Steel as work material. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate data acquisition system working at 2.5 MHz was used to collect the raw acoustic emission instead of the root mean square value usually employed. Many statistical analyses have shown to be effective to detect burn, such as the root mean square (RMS), correlation of the AE, constant false alarm rate (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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spelling In-process grinding monitoring through acoustic emissionGrindingburn detectionacoustic emissionelectrical powermonitoringThis work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding processes. 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 Steel as work material. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate data acquisition system working at 2.5 MHz was used to collect the raw acoustic emission instead of the root mean square value usually employed. Many statistical analyses have shown to be effective to detect burn, such as the root mean square (RMS), correlation of the AE, constant false alarm rate (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.Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM2006-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782006000100014Journal of the Brazilian Society of Mechanical Sciences and Engineering v.28 n.1 2006reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/S1678-58782006000100014info:eu-repo/semantics/openAccessAguiar,Paulo R.Serni,Paulo J. A.Dotto,Fábio R. L.Bianchi,Eduardo C.eng2006-03-20T00:00:00Zoai:scielo:S1678-58782006000100014Revistahttps://www.scielo.br/j/jbsmse/https://old.scielo.br/oai/scielo-oai.php||abcm@abcm.org.br1806-36911678-5878opendoar:2006-03-20T00:00Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false
dc.title.none.fl_str_mv In-process grinding monitoring through acoustic emission
title In-process grinding monitoring through acoustic emission
spellingShingle In-process grinding monitoring through acoustic emission
Aguiar,Paulo R.
Grinding
burn detection
acoustic emission
electrical power
monitoring
title_short In-process grinding monitoring through acoustic emission
title_full In-process grinding monitoring through acoustic emission
title_fullStr In-process grinding monitoring through acoustic emission
title_full_unstemmed In-process grinding monitoring through acoustic emission
title_sort In-process grinding monitoring through acoustic emission
author Aguiar,Paulo R.
author_facet Aguiar,Paulo R.
Serni,Paulo J. A.
Dotto,Fábio R. L.
Bianchi,Eduardo C.
author_role author
author2 Serni,Paulo J. A.
Dotto,Fábio R. L.
Bianchi,Eduardo C.
author2_role author
author
author
dc.contributor.author.fl_str_mv Aguiar,Paulo R.
Serni,Paulo J. A.
Dotto,Fábio R. L.
Bianchi,Eduardo C.
dc.subject.por.fl_str_mv Grinding
burn detection
acoustic emission
electrical power
monitoring
topic Grinding
burn detection
acoustic emission
electrical power
monitoring
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 processes. 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 Steel as work material. The acoustic emission signals were acquired from a fixed sensor placed on the workpiece holder. A high sampling rate data acquisition system working at 2.5 MHz was used to collect the raw acoustic emission instead of the root mean square value usually employed. Many statistical analyses have shown to be effective to detect burn, such as the root mean square (RMS), correlation of the AE, constant false alarm rate (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 2006
dc.date.none.fl_str_mv 2006-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782006000100014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1678-58782006000100014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1678-58782006000100014
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM
publisher.none.fl_str_mv Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM
dc.source.none.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering v.28 n.1 2006
reponame:Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron:ABCM
instname_str Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron_str ABCM
institution ABCM
reponame_str Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
collection Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online)
repository.name.fl_str_mv Journal of the Brazilian Society of Mechanical Sciences and Engineering (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
repository.mail.fl_str_mv ||abcm@abcm.org.br
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