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dc.contributor.authorSela, Andrés
dc.contributor.authorOrtiz-de-Zarate, Gorka
dc.contributor.authorSoler Mallol, Daniel
dc.contributor.authorAristimuño, Patxi Xabier
dc.contributor.authorARRAZOLA, PEDRO JOSE
dc.contributor.otherGermain, G.
dc.date.accessioned2021-03-24T15:04:12Z
dc.date.available2021-03-24T15:04:12Z
dc.date.issued2021
dc.identifier.issn0020-7403en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=163236en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5258
dc.description.abstractFinite Element Modelling used to predict machining outcomes needs to be supplied with the appropriate material thermomechanical properties which are obtained by specific testing devices and methodologies. However, these tests are usually not representative of the extreme conditions achieved in machining processes and the obtained material law may not be suitable enough. Inverse identification could address this problem by obtaining material thermomechanical properties directly from machining outcomes such as cutting forces, temperatures, strain or strain rates. Nevertheless, this technique needs to be supplied with accurate machining outcomes. However, some of them such as strain or strain rate are difficult to be properly measured. The aim of this paper is to present a methodology to measure plastic strain and strain rate during orthogonal machining under plane strain conditions. The main idea is to create a physical microgrid in a workpiece and to analyze the distortion suffered by this grid. The novelty of the method consists on its capability of measuring strain and strain rate fields in a very localized area (primary shear zone) using a single image. The methodology was applied in orthogonal cutting of Ti-6Al-4V under cutting conditions that are representative of the broaching process. Experimental results were compared with DIC measurements, analytical results based on unequal division shear zone model, literature results and with numerical fields obtained from an AdvantEdge-2D model.en
dc.description.sponsorshipGobierno Vascoes
dc.description.sponsorshipGobierno de Españaes
dc.language.isoengen
dc.publisherElsevier Ltd.en
dc.rights© 2021 Elsevier Ltd.en
dc.subjectplastic strainen
dc.subjectDICen
dc.subjectgrid distortionen
dc.subjectBroachingen
dc.subjectTi-6Al-4Ves
dc.titleMeasurement of plastic strain and plastic strain rate during orthogonal cutting for Ti-6Al-4Ven
dcterms.accessRightshttp://purl.org/coar/access_right/c_16ecen
dcterms.sourceInternational Journal of Mechanical Sciencesen
local.contributor.groupMecanizado de alto rendimientoes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1016/j.ijmecsci.2021.106397en
local.relation.projectIDGV/Elkartek 2018/KK-2018-00001/CAPV/Investigación colaborativa para la caracterización avanzada de sistemas macroscópicos en la nanoescala/NG18en
local.relation.projectIDGE/Convocatoria 2018 de proyectos de I+D+i «Retos Investigación», del Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095463-B-C21/ES/Ingeniería de Superficies a través del mecanizado enfocado a materiales empleados en la aeronáutica y la automoción: proceso de mecanizado enfocado al materialen
local.relation.projectIDGE/Convocatoria 2018 de proyectos de I+D+i «Retos Investigación», del Programa Estatal de I+D+i Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095463-B-C22/ES/Ingeniería de Superficies mediante el mecanizado controlado de metales aeronáuticos y de la automoción: comprensión del proceso de corte analizando la micro y nano-estructuraen
local.relation.projectIDGV/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.embargo.enddate2023-03-31
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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