dc.contributor.author | Ducobu, François | |
dc.contributor.author | Beuscart, Thomas | |
dc.contributor.author | Dambly, Valentin | |
dc.contributor.author | Rivière-Lorphèvre, Edouard | |
dc.contributor.author | Ortiz-de-Zarate, Gorka | |
dc.contributor.author | ARRAZOLA, PEDRO JOSE | |
dc.date.accessioned | 2025-05-06T09:20:56Z | |
dc.date.available | 2025-05-06T09:20:56Z | |
dc.date.issued | 2025 | |
dc.identifier.issn | 1726-0604 | en |
dc.identifier.other | https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=187533 | en |
dc.identifier.uri | https://hdl.handle.net/20.500.11984/6987 | |
dc.description.abstract | In 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.iso | eng | en |
dc.publisher | Elsevier | en |
dc.rights | © 2025 CIRP | en |
dc.subject | Drilling | en |
dc.subject | Robot | en |
dc.subject | aluminium | en |
dc.subject | ODS 9 Industria, innovación e infraestructura | es |
dc.title | An experimental methodology to improve the robotic drilling of aluminium alloys | en |
dcterms.accessRights | http://purl.org/coar/access_right/c_f1cf | en |
dcterms.source | CIRP Annals | en |
local.contributor.group | Mecanizado de alto rendimiento | es |
local.description.peerreviewed | true | en |
local.identifier.doi | https://doi.org/10.1016/j.cirp.2025.03.028 | en |
local.embargo.enddate | 2027-04-30 | |
local.contributor.otherinstitution | https://ror.org/02qnnz951 | es |
local.source.details | Early Access | en |
oaire.format.mimetype | application/pdf | en |
oaire.file | $DSPACE\assetstore | en |
oaire.resourceType | http://purl.org/coar/resource_type/c_6501 | en |
oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | en |
dc.unesco.tesauro | http://vocabularies.unesco.org/thesaurus/concept625 | en |
oaire.funderName | Gobierno Vasco | en |
oaire.funderIdentifier | https://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086 | en |
oaire.fundingStream | Hazitek 2021 | en |
oaire.awardNumber | ZL-2021-00273 | en |
oaire.awardTitle | Optimization of the machining of composite stacks with a 6 axis robot and new cutting tools (MACHSTAC) | en |
oaire.awardURI | Sin información | en |
dc.unesco.clasificacion | http://skos.um.es/unesco6/3313 | en |