A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
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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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 |
|
_version_ |
1808129315154427904 |