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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorOrtiz-de-Zarate, Gorka
dc.contributor.authorSela, Andrés
dc.contributor.authorMadariaga, Aitor
dc.contributor.authorARRAZOLA, PEDRO JOSE
dc.contributor.otherChilds, Thomas H.C.
dc.date.accessioned2022-07-28T07:04:01Z
dc.date.available2022-07-28T07:04:01Z
dc.date.issued2020
dc.identifier.issn2212-8271en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=162844en
dc.identifier.urihttp://hdl.handle.net/20.500.11984/5644
dc.description.abstractIn machining of Ti-6Al-4V, it is commonly reported the appearance of segmented chip produced by adiabatic shearing (at high cutting speeds) and lack of ductility (at low cutting speeds). Moreover, machining is a manufacturing process that is based on applying external energy to the workpiece to produce a separation of a material layer. Thus, to analyze the physics involved in the new surface generation and in the chip segmentation process, it is necessary to apply ductile failure models. However, the characterization of fracture models in machining conditions (temperature, strain rate, stress triaxiality, Lode angle etc.) is an arduous task. Therefore, to define a ductile failure model applicable to machining it is almost inevitable to apply inverse simulations strategies to obtain reliable results in the not tested conditions. Nevertheless, there is few information about the influence of the input parameters of ductile failure model in fundamental outputs and even less in surface integrity aspects. The aim of this research was to conduct a sensitivity analysis of the influence of the input parameters of a physical based ductile failure model not only in fundamental variables (forces, temperatures and chip morphology) but also on surface integrity (surface drag). To this end, a subroutine was developed for the ductile failure model and it was implemented in the Finite Element Method (FEM) software AdvantEdge. Subsequently, using a statistical software and the Design of Experiments (DOE) technique the influence of the input parameters of the failure model on the outputs was analyzed.en
dc.description.sponsorshipGobierno Vasco-Eusko Jaurlaritzaes
dc.language.isoengen
dc.publisherElsevier Ltden
dc.rights© 2020 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectductile failureen
dc.subjectFEMen
dc.subjectSurface integrityen
dc.subjectMachiningen
dc.subjectTi-6Al-4Ven
dc.titleSensitivity analysis of the input parameters of a physical based ductile failure model of Ti-6Al-4V for the prediction of surface integrityen
dc.typeinfo:eu-repo/semantics/articleen
dcterms.accessRightsinfo:eu-repo/semantics/openAccessen
dcterms.sourceProcedia CIRP.en
dc.description.versioninfo:eu-repo/semantics/publishedVersionen
local.contributor.groupMecanizado de alto rendimientoes
local.description.peerreviewedtrueen
local.description.publicationfirstpage533en
local.description.publicationlastpage538en
local.identifier.doihttps://doi.org/10.1016/j.procir.2020.02.105en
local.relation.projectIDinfo:eu-repo/grantAgreement/GV/Convocatoria de ayudas a la Investigación básica y-o aplicada 2018-2020/PIBA 2018-85/CAPV/Desarrollo de banco de ensayos de mecanizado lineal de alta velocidad para análisis de la condición de integridad superficial de aleaciones aeronáuticas y validación de modelos predictivos del proceso de corte/MECAEROen
local.contributor.otherinstitutionUniversity of Leedses
local.source.detailsVol. 87. Pp. 533-538, 2020en


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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