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Parametric optimization of the GMAW welding process in thin thickness of austenitic stainless steel by Taguchi method

2021Artigo científico Acesso aberto
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dc.contributor.authorNobrega, Glauco
dc.contributor.authorSouza, Maria Sabrina
dc.contributor.authorRodríguez-Martín, Manuel
dc.contributor.authorRodríguez-Gonzálvez, Pablo
dc.contributor.authorRibeiro, J.E.
dc.date.accessioned2021-09-27T10:17:49Z
dc.date.available2021-09-27T10:17:49Z
dc.date.issued2021
dc.description.abstractIn the present work, an analysis of different welding parameters was carried out on the welding of stainless-steel thin thickness tubes by the Gas Metal Arc Welding (GMAW) process. The influence of three main parameters, welding voltage, movement angle, and welding current in the quality of the welds, was studied through a specifically designed experimental process based on the establishment of three different levels of values for each of these parameters. Weld quality is evaluated using destructive testing (macrographic analysis). Specifically, the width and root penetration of the weld bead were measured; however, some samples have been disregarded due to welding defects outside the permissible range or caused by excessive melting of the base metals. Data are interpreted, discussed, and analyzed using the Taguchi method and ANOVA analysis. From the analysis of variance, it was possible to identify the most influential parameter, the welding voltage, with a contribution of 43.55% for the welding penetration and 75.26% for the bead width, which should be considered in the designs of automatic welding processes to improve the quality of final welds.pt_PT
dc.description.sponsorshipThis research was partially funded through the base funding from the following research units: UIDB/00690/2020 (CIMO)pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNobrega, Glauco; Souza, Maria Sabrina; Rodríguez-Martín, Manuel; Rodríguez-Gonzálvez, Pablo; Ribeiro, J.E. (2021). Parametric optimization of the GMAW welding process in thin thickness of austenitic stainless steel by Taguchi method. Applied Sciences. ISSN 2076-3417. 11:18, p. 1-15pt_PT
dc.identifier.doi10.3390/app11188742pt_PT
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10198/23929
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationMountain Research Center - UIDB/00690/2020
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectGMAW weldingpt_PT
dc.subjectTaguchi methodpt_PT
dc.subjectAustenitic stainless steelpt_PT
dc.subjectThin thicknesspt_PT
dc.titleParametric optimization of the GMAW welding process in thin thickness of austenitic stainless steel by Taguchi methodpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardTitleMountain Research Center - UIDB/00690/2020
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.citation.issue18pt_PT
oaire.citation.startPage8742pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNobrega
person.familyNameRibeiro
person.givenNameGlauco
person.givenNameJ.E.
person.identifierR-000-6Y8
person.identifier.ciencia-id2A1E-B6E3-D35E
person.identifier.ciencia-id0F15-FB62-29DB
person.identifier.gsidhttps://scholar.google.com/citations?user=Q-CoCZYAAAAJ&hl=pt-BR&oi=ao
person.identifier.orcid0000-0002-2571-0928
person.identifier.orcid0000-0001-6300-148X
person.identifier.ridG-3839-2018
person.identifier.scopus-author-id57266398500
person.identifier.scopus-author-id25638652400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication692167cf-93a0-4b82-a705-bf5799b81c13
relation.isAuthorOfPublicationc90169e6-7889-4270-a096-35b98c75f9f9
relation.isAuthorOfPublication.latestForDiscoveryc90169e6-7889-4270-a096-35b98c75f9f9
relation.isProjectOfPublication29718e93-4989-42bb-bcbc-4daff3870b25
relation.isProjectOfPublication.latestForDiscovery29718e93-4989-42bb-bcbc-4daff3870b25

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