Fuzzy logic to predict thermal damages of ground parts

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dc.contributor.authorMiranda, Hugo I.C. [UNESP]
dc.contributor.authorAguiar, Paulo R. [UNESP]
dc.contributor.authorEuzebio, Carlos Danilo G. [UNESP]
dc.contributor.authorBianchi, Eduardo C. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:24:44Z
dc.date.available2014-05-27T11:24:44Z
dc.date.issued2010-07-20
dc.description.abstractOne of the critical problems in implementing an intelligent grinding process is the automatic detection of workpiece surface burn. This work uses fuzzy logic as a tool to classify and predict burn levels in the grinding process. Based on acoustic emission signals, cutting power, and the mean-value deviance (MVD), linguistic rules were established for the various burn situations (slight, intermediate, severe) by applying fuzzy logic using the Matlab Toolbox. Three practical fuzzy system models were developed. The first model with two inputs resulted only in a simple analysis process. The second and third models have an additional MVD statistic input, associating information and precision. These two models differ from each other in terms of the rule base developed. The three developed models presented valid responses, proving effective, accurate, reliable and easy to use for the determination of ground workpiece burn. In this analysis, fuzzy logic translates the operator's human experience associated with powerful computational methods.en
dc.description.affiliationDepartment of Electrical Engineering School of Engineering -FEB UNESP -Univ Estadual Paulista, Av. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa, Cep 17033-360, Bauru-SP
dc.description.affiliationDepartment of Mechanical Engineering School of Engineering -FEB UNESP -Univ Estadual Paulista, Av. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa, Cep 17033-360, Bauru-SP
dc.description.affiliationUnespDepartment of Electrical Engineering School of Engineering -FEB UNESP -Univ Estadual Paulista, Av. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa, Cep 17033-360, Bauru-SP
dc.description.affiliationUnespDepartment of Mechanical Engineering School of Engineering -FEB UNESP -Univ Estadual Paulista, Av. Luiz Edmundo Carrijo Coube, 14-01, Vargem Limpa, Cep 17033-360, Bauru-SP
dc.format.extent434-441
dc.identifierhttps://www.actapress.com/Abstract.aspx?paperId=37738
dc.identifier.citationProceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010, p. 434-441.
dc.identifier.scopus2-s2.0-77954574916
dc.identifier.urihttp://hdl.handle.net/11449/71791
dc.language.isoeng
dc.relation.ispartofProceedings of the 10th IASTED International Conference on Artificial Intelligence and Applications, AIA 2010
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectBurn
dc.subjectFuzzy logic
dc.subjectGrinding
dc.subjectMonitoring
dc.subjectAcoustic emission signal
dc.subjectAnalysis process
dc.subjectAutomatic Detection
dc.subjectCritical problems
dc.subjectCutting power
dc.subjectDeveloped model
dc.subjectFuzzy system models
dc.subjectGrinding process
dc.subjectLinguistic rules
dc.subjectMatlab toolboxes
dc.subjectMean values
dc.subjectRule base
dc.subjectThermal damage
dc.subjectWork pieces
dc.subjectArtificial intelligence
dc.subjectFuzzy sets
dc.subjectGrinding (machining)
dc.subjectModel structures
dc.titleFuzzy logic to predict thermal damages of ground partsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttps://www.actapress.com/privacy.aspx
unesp.author.lattes1099152007574921[4]
unesp.author.orcid0000-0003-2675-4276[4]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt

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Artigos - Engenharia Elétrica - FEB
Artigos - Engenharia Mecânica - FEB