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Welding process automation of aluminum alloys for the transport industry: an industrial robotics approach

2021Comunicação em conferência Acesso aberto
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dc.contributor.authorRibeiro, J.E.
dc.contributor.authorGonçalves, José
dc.contributor.authorMineiro, Nuno
dc.date.accessioned2021-11-24T11:20:48Z
dc.date.available2021-11-24T11:20:48Z
dc.date.issued2021
dc.description.abstractThe materials used in the transport industry have been changing in the last decades. The traditional and heavy steel have been switching by the light alloys like aluminum alloys. However, despite their advantages as low density and high corrosion resistance, the manufacturing process, especially fusion welding, is very demanding and challenging. In the transport industry, most of the hyperstatic components made in aluminum alloys are welded manually with the associate financial costs as well as the lack of quality and repeatability. For these reasons, it is urgent to develop new methodologies to automate this process. The present work intends to show a scientific method to automate the welding process of hyperstatic frames, very common in bicycles, made in aluminum alloy. This methodology involves two steps, the first one in which is performed numerical simulations to determine the optimal welding parameters to minimize the distortion and residual stresses. The second step is experimental one, and it is created an automated welding cell with a robot to weld the frames. It has been proved that it is possible to obtain welding aluminum frames with acceptable quality in agreement with the ASME IX standard.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES to CIMO (UIDB/00690/2020).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRibeiro, J.E.; Gonçalves, José; Mineiro, Nuno (2021). Welding process automation of aluminum alloys for the transport industry: an industrial robotics approach. In 14th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2020. Bragança, p. 72-81. ISBN 978-303058652-2pt_PT
dc.identifier.doi10.1007/978-3-030-58653-9_7pt_PT
dc.identifier.isbn978-303058652-2
dc.identifier.urihttp://hdl.handle.net/10198/24395
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationMountain Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAutomationpt_PT
dc.subjectRobotic weldingpt_PT
dc.subjectNumerical simulationpt_PT
dc.subjectOptimizationpt_PT
dc.subjectAluminum alloyspt_PT
dc.titleWelding process automation of aluminum alloys for the transport industry: an industrial robotics approachpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardTitleMountain Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.citation.endPage81pt_PT
oaire.citation.startPage72pt_PT
oaire.citation.title14Th Apca International Conference on Automatic Control and Soft Computing, Controlo 2020 in: Lecture Notes in Electrical Engineering, 1 July 2020 through 3 July 2020 Volume 695 LNEE, Pages 72-81pt_PT
oaire.citation.volume695pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameRibeiro
person.familyNameGonçalves
person.givenNameJ.E.
person.givenNameJosé
person.identifierR-000-6Y8
person.identifierR-000-7ZW
person.identifier.ciencia-id0F15-FB62-29DB
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0001-6300-148X
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridG-3839-2018
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id25638652400
person.identifier.scopus-author-id48361230200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc90169e6-7889-4270-a096-35b98c75f9f9
relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscoveryc90169e6-7889-4270-a096-35b98c75f9f9
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