A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer

Detalhes bibliográficos
Autor(a) principal: Aulestia Viera, Martin A.
Data de Publicação: 2019
Outros Autores: Aguiar, Paulo R., Oliveira Junior, Pedro, Alexandre, Felipe A., Lopes, Wenderson N., Bianchi, Eduardo C., da Silva, Rosemar Batista, D'addona, Doriana, Andreoli, Andre
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/s19183913
http://hdl.handle.net/11449/189735
Resumo: Innovative monitoring systems based on sensor signals have emerged in recent years in view of their potential for diagnosing machining process conditions. In this context, preliminary applications of fast-response and low-cost piezoelectric diaphragms (PZT) have recently emerged in the grinding monitoring field. However, there is a lack of application regarding the grinding of ceramic materials. Thus, this work presents an analysis of the feasibility of using the acoustic emission signals obtained through the PZT diaphragm, together with digital signal processing in the time-frequency domain, in the monitoring of the surface quality of ceramic components during the surface grinding process. For comparative purpose, an acoustic emission (AE) sensor, commonly used in industry, was used as a baseline. The results obtained by the PZT diaphragm were similar to the results obtained using the AE sensor. The time-frequency analysis allowed to identify irregularities throughout the monitored process.
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spelling A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transduceracoustic emissionceramic grindingdigital signal processingpiezoelectric transducersensor monitoringshort-time Fourier transformInnovative monitoring systems based on sensor signals have emerged in recent years in view of their potential for diagnosing machining process conditions. In this context, preliminary applications of fast-response and low-cost piezoelectric diaphragms (PZT) have recently emerged in the grinding monitoring field. However, there is a lack of application regarding the grinding of ceramic materials. Thus, this work presents an analysis of the feasibility of using the acoustic emission signals obtained through the PZT diaphragm, together with digital signal processing in the time-frequency domain, in the monitoring of the surface quality of ceramic components during the surface grinding process. For comparative purpose, an acoustic emission (AE) sensor, commonly used in industry, was used as a baseline. The results obtained by the PZT diaphragm were similar to the results obtained using the AE sensor. The time-frequency analysis allowed to identify irregularities throughout the monitored process.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, Brazil. martin.aulestia@unesp.brDepartment of Electrical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, BrazilDepartment of Mechanical Engineering, São Paulo State University-UNESP, Av. Eng. Luiz Edmundo Carrijo Coube, 14-01, Bauru 17033-360, BrazilSchool of Mechanical Engineering Federal University of Uberlandia, Av. João Naves de Avila 2121Fraunhofer Joint Laboratory of Excellence on Advanced Production Technology (Fh-J_LEAPT Naples) Department of Chemical Material and Industrial Production Engineering University of Naples Federico II, Piazzale Tecchio 80FAPESP: 2018/07292-0CNPq: 306435/2017-9Universidade Estadual Paulista (Unesp)Universidade Federal de Uberlândia (UFU)University of Naples Federico IIAulestia Viera, Martin A.Aguiar, Paulo R.Oliveira Junior, PedroAlexandre, Felipe A.Lopes, Wenderson N.Bianchi, Eduardo C.da Silva, Rosemar BatistaD'addona, DorianaAndreoli, Andre2019-10-06T16:50:31Z2019-10-06T16:50:31Z2019-09-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/s19183913Sensors (Basel, Switzerland), v. 19, n. 18, 2019.1424-8220http://hdl.handle.net/11449/18973510.3390/s191839132-s2.0-85072149989Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengSensors (Basel, Switzerland)info:eu-repo/semantics/openAccess2024-06-28T13:55:00Zoai:repositorio.unesp.br:11449/189735Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:22:58.775006Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
title A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
spellingShingle A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
Aulestia Viera, Martin A.
acoustic emission
ceramic grinding
digital signal processing
piezoelectric transducer
sensor monitoring
short-time Fourier transform
title_short A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
title_full A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
title_fullStr A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
title_full_unstemmed A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
title_sort A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
author Aulestia Viera, Martin A.
author_facet Aulestia Viera, Martin A.
Aguiar, Paulo R.
Oliveira Junior, Pedro
Alexandre, Felipe A.
Lopes, Wenderson N.
Bianchi, Eduardo C.
da Silva, Rosemar Batista
D'addona, Doriana
Andreoli, Andre
author_role author
author2 Aguiar, Paulo R.
Oliveira Junior, Pedro
Alexandre, Felipe A.
Lopes, Wenderson N.
Bianchi, Eduardo C.
da Silva, Rosemar Batista
D'addona, Doriana
Andreoli, Andre
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de Uberlândia (UFU)
University of Naples Federico II
dc.contributor.author.fl_str_mv Aulestia Viera, Martin A.
Aguiar, Paulo R.
Oliveira Junior, Pedro
Alexandre, Felipe A.
Lopes, Wenderson N.
Bianchi, Eduardo C.
da Silva, Rosemar Batista
D'addona, Doriana
Andreoli, Andre
dc.subject.por.fl_str_mv acoustic emission
ceramic grinding
digital signal processing
piezoelectric transducer
sensor monitoring
short-time Fourier transform
topic acoustic emission
ceramic grinding
digital signal processing
piezoelectric transducer
sensor monitoring
short-time Fourier transform
description Innovative monitoring systems based on sensor signals have emerged in recent years in view of their potential for diagnosing machining process conditions. In this context, preliminary applications of fast-response and low-cost piezoelectric diaphragms (PZT) have recently emerged in the grinding monitoring field. However, there is a lack of application regarding the grinding of ceramic materials. Thus, this work presents an analysis of the feasibility of using the acoustic emission signals obtained through the PZT diaphragm, together with digital signal processing in the time-frequency domain, in the monitoring of the surface quality of ceramic components during the surface grinding process. For comparative purpose, an acoustic emission (AE) sensor, commonly used in industry, was used as a baseline. The results obtained by the PZT diaphragm were similar to the results obtained using the AE sensor. The time-frequency analysis allowed to identify irregularities throughout the monitored process.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T16:50:31Z
2019-10-06T16:50:31Z
2019-09-11
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/10.3390/s19183913
Sensors (Basel, Switzerland), v. 19, n. 18, 2019.
1424-8220
http://hdl.handle.net/11449/189735
10.3390/s19183913
2-s2.0-85072149989
url http://dx.doi.org/10.3390/s19183913
http://hdl.handle.net/11449/189735
identifier_str_mv Sensors (Basel, Switzerland), v. 19, n. 18, 2019.
1424-8220
10.3390/s19183913
2-s2.0-85072149989
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sensors (Basel, Switzerland)
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
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