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dc.contributor.authorDucobu, François
dc.contributor.authorBeuscart, Thomas
dc.contributor.authorDambly, Valentin
dc.contributor.authorRivière-Lorphèvre, Edouard
dc.contributor.authorOrtiz-de-Zarate, Gorka
dc.contributor.authorARRAZOLA, PEDRO JOSE
dc.date.accessioned2025-05-06T09:20:56Z
dc.date.available2025-05-06T09:20:56Z
dc.date.issued2025
dc.identifier.issn1726-0604en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=187533en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6987
dc.description.abstractIn aeronautics, mastering the drilling process is crucial to meet strict quality standards. While robots provide a cost-effective solution for drilling large, complex parts, challenges arise in metallic materials due to their low stiffness. This study establishes a systematic experimental method to improve hole quality during robotic drilling of aluminium alloys. Holes were drilled in plates in four positions and 64 postures using a 6 mm tool to analyse their influence on a new defect index. A static deflection compensation method was developed to improve hole quality, addressing static deflection issues narrowing the gap between robotic drilling and CNC machining.en
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2025 CIRPen
dc.subjectDrillingen
dc.subjectRoboten
dc.subjectaluminiumen
dc.subjectODS 9 Industria, innovación e infraestructuraes
dc.titleAn experimental methodology to improve the robotic drilling of aluminium alloysen
dcterms.accessRightshttp://purl.org/coar/access_right/c_f1cfen
dcterms.sourceCIRP Annalsen
local.contributor.groupMecanizado de alto rendimientoes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1016/j.cirp.2025.03.028en
local.embargo.enddate2027-04-30
local.contributor.otherinstitutionhttps://ror.org/02qnnz951es
local.source.detailsEarly Accessen
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept625en
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.fundingStreamHazitek 2021en
oaire.awardNumberZL-2021-00273en
oaire.awardTitleOptimization of the machining of composite stacks with a 6 axis robot and new cutting tools (MACHSTAC)en
oaire.awardURISin informaciónen
dc.unesco.clasificacionhttp://skos.um.es/unesco6/3313en


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