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Milling parameters optimization for surface quality

dc.contributor.authorDias, Tânia Maria Costa
dc.contributor.authorPaulo, Nuno José Lopes
dc.contributor.authorLopes, Hernani
dc.contributor.authorBraz-César, Manuel
dc.contributor.authorQueijo, Luis
dc.contributor.authorRibeiro, J.E.
dc.date.accessioned2017-02-17T15:28:55Z
dc.date.available2017-02-17T15:28:55Z
dc.date.issued2017
dc.description.abstractThe Taguchi method is a powerful tool to experiment design optimization and is used in this work to optimize the cutting parameters, which reduce the chatter ef-fect on surface quality. The present study includes feed per tooth, cutting speed, radial and axial depth of cut as control factors. An orthogonal array of L16 was used with the ANOVA analyses in order to identify the significant factors asso-ciated to the surface roughness and chatter vibration in three different directions. The optimal cutting combination for the surface finishing was determined through the analysis of surface roughness. This are correlated with the vibrations levels recorded during the experimental tests. The study was carry-out by machining a hardened steel block with tungsten carbide coated tools. The results led to the minimum of arithmetic mean surface roughness of 1.05 µm which corresponded to a minimum of the mean vibration level.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDias, Tânia; Paulo, Nuno; Lopes, H.; Braz-César, M.T.; Queijo, Luis; Ribeiro, J.E. (2017). Milling parameters optimization for surface quality. In Garrido, Paulo; Soares, Filomena; Moreira, António Paulo (eds.) CONTROLO 2016. ISBN 978-3-319-43670-8. Springer Verlag. p. 583-593pt_PT
dc.identifier.isbn978-3-319-43670-8
dc.identifier.urihttp://hdl.handle.net/10198/14039
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Verlagpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMillingpt_PT
dc.subjectChatter vibrationspt_PT
dc.subjectSurface roughnesspt_PT
dc.subjectTaguchi methodpt_PT
dc.titleMilling parameters optimization for surface qualitypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage593pt_PT
oaire.citation.startPage583pt_PT
oaire.citation.titleCONTROLO 2016pt_PT
person.familyNameBraz-César
person.familyNameQueijo
person.familyNameRibeiro
person.givenNameManuel
person.givenNameLuís
person.givenNameJ.E.
person.identifierR-000-6Y8
person.identifier.ciencia-id5C10-B764-22E3
person.identifier.ciencia-id9310-5CB5-7BA1
person.identifier.ciencia-id0F15-FB62-29DB
person.identifier.orcid0000-0001-5640-0714
person.identifier.orcid0000-0002-6445-4330
person.identifier.orcid0000-0001-6300-148X
person.identifier.ridG-3839-2018
person.identifier.scopus-author-id53663179600
person.identifier.scopus-author-id25638652400
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa99f08f6-5b97-4571-a6e4-07dee53fb527
relation.isAuthorOfPublication85efb15b-2f3e-4315-bdd3-f898797a4a52
relation.isAuthorOfPublicationc90169e6-7889-4270-a096-35b98c75f9f9
relation.isAuthorOfPublication.latestForDiscoveryc90169e6-7889-4270-a096-35b98c75f9f9

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