Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation

Detalhes bibliográficos
Autor(a) principal: Conceicao Junior, Pedro Oliveira da [UNESP]
Data de Publicação: 2018
Outros Autores: Ferreira, Fabio Isaac [UNESP], Aguiar, Paulo Roberto de [UNESP], Batista, Fabricio Guimaraes [UNESP], Bianchi, Eduardo Carlos [UNESP], D'Addona, Doriana Marilena, Teti, R., DAddona, D. M.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.procir.2017.12.220
http://hdl.handle.net/11449/197110
Resumo: Among the methods used in structural health monitoring (SHM), the electromechanical impedance technique (EMI), which uses piezoelectric transducers of lead zirconate titanate (PZT), stands out for its low cost. Then, this paper presents a new approach for monitoring of the dressing operation from the digital processing of voltage signals based on the time-domain response of a PZT transducer by EMI method. Experimental tests of the dressing process were performed by using a single-point dresser equipped with a natural diamond. The voltage signals in the time-domain were collected in different damage levels. By using temporal statistics, it was possible to qualify different damage levels that the diamond suffered during the dressing operation, observing variations from the magnitude of the signals. The dressing operation is of utmost importance for the grinding process and the dresser wear negatively affects the result of the process, which owns high added value. In this way, this work contributes with a new monitoring tool which aims ensuring a consistent dressing operation. (C) 2017 The Authors. Published by Elsevier B.V.
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spelling Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operationManufacturing systemdigital signal processingelectromechanical impedancedressing operationAmong the methods used in structural health monitoring (SHM), the electromechanical impedance technique (EMI), which uses piezoelectric transducers of lead zirconate titanate (PZT), stands out for its low cost. Then, this paper presents a new approach for monitoring of the dressing operation from the digital processing of voltage signals based on the time-domain response of a PZT transducer by EMI method. Experimental tests of the dressing process were performed by using a single-point dresser equipped with a natural diamond. The voltage signals in the time-domain were collected in different damage levels. By using temporal statistics, it was possible to qualify different damage levels that the diamond suffered during the dressing operation, observing variations from the magnitude of the signals. The dressing operation is of utmost importance for the grinding process and the dresser wear negatively affects the result of the process, which owns high added value. In this way, this work contributes with a new monitoring tool which aims ensuring a consistent dressing operation. (C) 2017 The Authors. Published by Elsevier B.V.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Elect Engn, Ave Eng Edmundo Luiz C Coube 14-01, Bauru, SP, BrazilSao Paulo State Univ, Dept Mech Engn, Ave Eng Edmundo Luiz C Coube 14-01, Bauru, SP, BrazilUniv Naples Federico II, Dept Chem Engn Mat & Ind Prod, Corso Umberto I,40, Naples, ItalySao Paulo State Univ, Dept Elect Engn, Ave Eng Edmundo Luiz C Coube 14-01, Bauru, SP, BrazilSao Paulo State Univ, Dept Mech Engn, Ave Eng Edmundo Luiz C Coube 14-01, Bauru, SP, BrazilFAPESP: 2016/02831-5Elsevier B.V.Universidade Estadual Paulista (Unesp)Univ Naples Federico IIConceicao Junior, Pedro Oliveira da [UNESP]Ferreira, Fabio Isaac [UNESP]Aguiar, Paulo Roberto de [UNESP]Batista, Fabricio Guimaraes [UNESP]Bianchi, Eduardo Carlos [UNESP]D'Addona, Doriana MarilenaTeti, R.DAddona, D. M.2020-12-10T20:06:28Z2020-12-10T20:06:28Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject319-324http://dx.doi.org/10.1016/j.procir.2017.12.22011th Cirp Conference On Intelligent Computation In Manufacturing Engineering. Amsterdam: Elsevier Science Bv, v. 67, p. 319-324, 2018.2212-8271http://hdl.handle.net/11449/19711010.1016/j.procir.2017.12.220WOS:000552395600056Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng11th Cirp Conference On Intelligent Computation In Manufacturing Engineeringinfo:eu-repo/semantics/openAccess2024-06-28T13:55:19Zoai:repositorio.unesp.br:11449/197110Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:29:10.218625Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
title Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
spellingShingle Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
Conceicao Junior, Pedro Oliveira da [UNESP]
Manufacturing system
digital signal processing
electromechanical impedance
dressing operation
title_short Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
title_full Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
title_fullStr Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
title_full_unstemmed Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
title_sort Time-domain analysis based on the electromechanical impedance method for monitoring of the dressing operation
author Conceicao Junior, Pedro Oliveira da [UNESP]
author_facet Conceicao Junior, Pedro Oliveira da [UNESP]
Ferreira, Fabio Isaac [UNESP]
Aguiar, Paulo Roberto de [UNESP]
Batista, Fabricio Guimaraes [UNESP]
Bianchi, Eduardo Carlos [UNESP]
D'Addona, Doriana Marilena
Teti, R.
DAddona, D. M.
author_role author
author2 Ferreira, Fabio Isaac [UNESP]
Aguiar, Paulo Roberto de [UNESP]
Batista, Fabricio Guimaraes [UNESP]
Bianchi, Eduardo Carlos [UNESP]
D'Addona, Doriana Marilena
Teti, R.
DAddona, D. M.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Univ Naples Federico II
dc.contributor.author.fl_str_mv Conceicao Junior, Pedro Oliveira da [UNESP]
Ferreira, Fabio Isaac [UNESP]
Aguiar, Paulo Roberto de [UNESP]
Batista, Fabricio Guimaraes [UNESP]
Bianchi, Eduardo Carlos [UNESP]
D'Addona, Doriana Marilena
Teti, R.
DAddona, D. M.
dc.subject.por.fl_str_mv Manufacturing system
digital signal processing
electromechanical impedance
dressing operation
topic Manufacturing system
digital signal processing
electromechanical impedance
dressing operation
description Among the methods used in structural health monitoring (SHM), the electromechanical impedance technique (EMI), which uses piezoelectric transducers of lead zirconate titanate (PZT), stands out for its low cost. Then, this paper presents a new approach for monitoring of the dressing operation from the digital processing of voltage signals based on the time-domain response of a PZT transducer by EMI method. Experimental tests of the dressing process were performed by using a single-point dresser equipped with a natural diamond. The voltage signals in the time-domain were collected in different damage levels. By using temporal statistics, it was possible to qualify different damage levels that the diamond suffered during the dressing operation, observing variations from the magnitude of the signals. The dressing operation is of utmost importance for the grinding process and the dresser wear negatively affects the result of the process, which owns high added value. In this way, this work contributes with a new monitoring tool which aims ensuring a consistent dressing operation. (C) 2017 The Authors. Published by Elsevier B.V.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
2020-12-10T20:06:28Z
2020-12-10T20:06:28Z
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 http://dx.doi.org/10.1016/j.procir.2017.12.220
11th Cirp Conference On Intelligent Computation In Manufacturing Engineering. Amsterdam: Elsevier Science Bv, v. 67, p. 319-324, 2018.
2212-8271
http://hdl.handle.net/11449/197110
10.1016/j.procir.2017.12.220
WOS:000552395600056
url http://dx.doi.org/10.1016/j.procir.2017.12.220
http://hdl.handle.net/11449/197110
identifier_str_mv 11th Cirp Conference On Intelligent Computation In Manufacturing Engineering. Amsterdam: Elsevier Science Bv, v. 67, p. 319-324, 2018.
2212-8271
10.1016/j.procir.2017.12.220
WOS:000552395600056
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 11th Cirp Conference On Intelligent Computation In Manufacturing Engineering
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 319-324
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
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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