A comparative study of two indirect methods to monitor surface integrity of ground components

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dc.contributor.authorHubner, Henrique Butzlaff
dc.contributor.authorSilva, Rosemar Batista da
dc.contributor.authorViana Duarte, Marcus Antonio
dc.contributor.authorSilva, Marcio Bacci da
dc.contributor.authorFerreira, Fabio Isaac [UNESP]
dc.contributor.authorAguiar, Paulo Roberto de [UNESP]
dc.contributor.authorBaptista, Fabricio Guimaries [UNESP]
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T19:48:49Z
dc.date.available2020-12-10T19:48:49Z
dc.date.issued2020-02-03
dc.description.abstractOne of the major challenges in grinding is to conciliate the material removal rate with components free from damages. Due to the poor thermal conductivity of conventional grinding wheels, most of the heat generated during grinding is transferred to the workpiece surface and subsurface, which can cause thermal damages and impair the performance in service of machined components. Hence, it is very important to monitor the grinding process to ensure the quality of the machined parts. Thus, this work presents an innovative study comparing two indirect monitoring methods in monitoring surface integrity of steel during grinding: the acoustic emission technique and the electromechanical impedance technique. Worktable speed and radial depth of cut were used as input parameters. Visual inspection and scanning electron microscopy images of ground surfaces as well as microhardness were the output variables used to assess surface integrity and to establish a relationship with the acoustic emission and electromechanical impedance techniques. Since the acoustic emission signals are non-stationary in nature, these signals were analyzed in the time-frequency domain by applying the short-time Fourier transform and the continuous wavelet transform. The root mean square deviation index was extracted as feature from the acoustic emission and electromechanical impedance signals. Results showed that both techniques presented similar results. The root mean square deviation index showed a good correlation with alterations in surface integrity under the conditions investigated.en
dc.description.affiliationUniv Fed Uberlandia, Sch Mech Engn, BR-38408100 Uberlandia, MG, Brazil
dc.description.affiliationSao Paulo State Univ, Sch Engn, Dept Elect Engn, Bauru, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Sch Engn, Dept Elect Engn, Bauru, SP, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdCAPES: 001
dc.format.extent15
dc.identifierhttp://dx.doi.org/10.1177/1475921720903442
dc.identifier.citationStructural Health Monitoring-an International Journal. London: Sage Publications Ltd, 15 p., 2020.
dc.identifier.doi10.1177/1475921720903442
dc.identifier.issn1475-9217
dc.identifier.lattes2426330204919814
dc.identifier.orcid0000-0002-1200-4354
dc.identifier.orcid0000-0002-1200-4354
dc.identifier.urihttp://hdl.handle.net/11449/196558
dc.identifier.wosWOS:000511547600001
dc.language.isoeng
dc.publisherSage Publications Ltd
dc.relation.ispartofStructural Health Monitoring-an International Journal
dc.sourceWeb of Science
dc.subjectProcess monitoring
dc.subjectacoustic emission
dc.subjectcontinuous wavelet transform
dc.subjectelectromechanical impedance
dc.subjectsurface integrity
dc.subjectroot mean square deviation
dc.subjectshort-time Fourier transform
dc.titleA comparative study of two indirect methods to monitor surface integrity of ground componentsen
dc.typeArtigo
dcterms.licensehttp://www.uk.sagepub.com/aboutus/openaccess.htm
dcterms.rightsHolderSage Publications Ltd
unesp.author.lattes2426330204919814[7]
unesp.author.orcid0000-0002-1200-4354[7]

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Artigos - Engenharia Elétrica - FEB