Depth of dressing optimization in CBN wheels of different friabilities using acoustic emission (AE) technique

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dc.contributor.authorAlexandre, Felipe Aparecido [UNESP]
dc.contributor.authorLopes, Jose Claudio [UNESP]
dc.contributor.authorFernandes, Lucas de Martini [UNESP]
dc.contributor.authorFonteque Ribeiro, Fernando Sabino
dc.contributor.authorFernandez, Breno Ortega
dc.contributor.authorDe Angelo Sanchez, Luiz Eduardo [UNESP]
dc.contributor.authorMoreira de Oliveira, Rodolfo Fischer
dc.contributor.authorMello, Hamilton Jose de [UNESP]
dc.contributor.authorAguiar, Paulo Roberto [UNESP]
dc.contributor.authorBianchi, Eduardo Carlos [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFed Inst Educ Sci & Technol Parana
dc.contributor.institutionUniv Lins
dc.contributor.institutionSt Gobain Surface Conditioning
dc.date.accessioned2020-12-10T19:50:18Z
dc.date.available2020-12-10T19:50:18Z
dc.date.issued2020-02-01
dc.description.abstractGrinding is a manufacturing process that has the objective of granting the workpiece a high-quality surface and is located at the end of the sequence of machining processes. During grinding operation, the abrasive grains of the wheel surface are worn and the pores are filled with debris. This phenomenon makes the cutting tool less efficient to remove material and sometimes improper to be used if a process to correct the cutting surface is not applied to the tool. Dressing is defined as a conditioning process which gives shape to the wheel and has the purpose of improving its capacity to remove material. In this context, this work proposes the monitoring of the dressing process of CBN wheels through acoustic emission technique (AE) along with the processing of digital signals. Dressing tests were done in a cylindrical grinder with two types of CBN wheels and the surface after the process was evaluated through micrographs. The AE signals were acquired with a 2 MHz sampling rate. In sequence, statistics such as RMS (root mean square) and counts were applied to the sample signals and analyses in the frequency domain were done to select frequency bands that are more related to the dressing process. The results show that the counts' analysis applied to the signals filtered in the selected bands is effective to detect the best moment to stop the dressing process.en
dc.description.affiliationSao Paulo State Univ Julio de Mesquita Filho, Dept Elect Engn, Bauru Campus, Bauru, SP, Brazil
dc.description.affiliationSao Paulo State Univ Julio de Mesquita Filho, Dept Mech Engn, Bauru Campus, Bauru, SP, Brazil
dc.description.affiliationFed Inst Educ Sci & Technol Parana, Dept Control & Ind Proc, Jacarezinho Campus, Jacarezinho, PR, Brazil
dc.description.affiliationUniv Lins, Dept Elect Engn, Lins Campus, Lins, SP, Brazil
dc.description.affiliationSt Gobain Surface Conditioning, Dept Ceram Mat, Guarulhos, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ Julio de Mesquita Filho, Dept Elect Engn, Bauru Campus, Bauru, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ Julio de Mesquita Filho, Dept Mech Engn, Bauru Campus, Bauru, SP, Brazil
dc.format.extent5225-5240
dc.identifierhttp://dx.doi.org/10.1007/s00170-020-04994-8
dc.identifier.citationInternational Journal Of Advanced Manufacturing Technology. London: Springer London Ltd, v. 106, n. 11-12, p. 5225-5240, 2020.
dc.identifier.doi10.1007/s00170-020-04994-8
dc.identifier.issn0268-3768
dc.identifier.urihttp://hdl.handle.net/11449/196607
dc.identifier.wosWOS:000515223600044
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofInternational Journal Of Advanced Manufacturing Technology
dc.sourceWeb of Science
dc.subjectDressing process
dc.subjectAcoustic emission
dc.subjectCBN grinding wheel
dc.subjectProcess monitoring
dc.titleDepth of dressing optimization in CBN wheels of different friabilities using acoustic emission (AE) techniqueen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
unesp.author.orcid0000-0001-5517-1016[2]

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