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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorRosado, Julen
dc.contributor.authorAristimuño, Patxi Xabier
dc.contributor.authorARRAZOLA, PEDRO JOSE
dc.date.accessioned2023-06-07T06:51:39Z
dc.date.available2023-06-07T06:51:39Z
dc.date.issued2023
dc.identifier.issn2212-8271 onlineen
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=172735en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6091
dc.description.abstractSurface errors in contour milling due to force induced tool deflections have a direct impact on the dimensional and geometrical accuracy of the finished part. In this sense, virtual manufacturing systems provide the capability to predict the errors generated at the final surface aiming to reduce production ramp-ups. Effects of working conditions on the surface error imprinted by the tool during a stable milling process along the whole tool path are studied at different radial and axial depths of cut. The developed process model was validated experimentally, showing good agreement in the prediction of the resulting dimensional surface error for when a single tooth is involved in the cut.en
dc.description.sponsorshipGobierno Vasco
dc.language.isoengen
dc.publisherElsevier B.V.en
dc.rights© 2023 The Authors. Published by Elsevier B.V.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDigital twinen
dc.subjectQuality assuranceen
dc.subjectAccuracyen
dc.subjectTool pathen
dc.subjectVirtual machiningen
dc.titleDigital Twin for Final Generated Surface Dimensional Error Analysis at Tool Path Level in Contour Millingen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceProcedia CIRPen
local.contributor.groupMecanizado de alto rendimientoes
local.description.peerreviewedtrueen
local.description.publicationfirstpage44en
local.description.publicationlastpage49en
local.identifier.doihttps://doi.org/10.1016/j.procir.2023.03.009en
local.relation.projectIDinfo:eu-repo/grantAgreement/GV/Elkartek 2021/KK-2021-00021/CAPV/Optimización de procesos para la fabricación cero defectos de piezas grandes/OPTICED
local.source.detailsVol 117. Pp. 44–49, 2023en
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International