Registro sencillo

dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorSaez de Buruaga, Mikel
dc.contributor.authorEsnaola, Jon Ander
dc.contributor.authorAristimuño, Patxi Xabier
dc.contributor.authorSoler Mallol, Daniel
dc.contributor.authorARRAZOLA, PEDRO JOSE
dc.contributor.otherBjörk, T.
dc.date.accessioned2018-10-29T09:32:07Z
dc.date.available2018-10-29T09:32:07Z
dc.date.issued2017
dc.identifier.issn2212-8271eu_ES
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=127395eu_ES
dc.identifier.urihttps://hdl.handle.net/20.500.11984/1113
dc.description.abstractA coupled Eulerian-Lagrangian Finite Element model of the orthogonal cutting process was developed to predict the influence that ferritepearlite steel variants have on fundamental process variables and tool wear. As a case study, this paper is focused on two different ferritepearlite inclusion free alloys, where mainly the influence of ferrite-pearlite ratio was tested. Flow stress behavior based on dynamic compression tests and thermal properties function of temperature were characterized for model input parameters. The numerical model is compared with orthogonal cutting tests where the cutting and feed forces, tool temperature, chip morphology and tool wear related variables were measured. Globally, predicted tendencies match with experiments in forces and temperatures. Widest differences on predictions were found for chip thickness and tool-chip contact length. Predicted wear rates are in accordance to experimentally measured values.eu_ES
dc.description.sponsorshipThe authors thank the projects MICROMAQUINTE(PI_2014_1_116), EMULATE (DP12015-67667-C3-3R)and IMMAC (RFSR-CT-2014-00020) for their funding to the research presented in this paper.
dc.language.isoengeu_ES
dc.publisherElsevier B.V.eu_ES
dc.rights© 2017 The Authorseu_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFEMeu_ES
dc.subjectMicro structureeu_ES
dc.subjectWeareu_ES
dc.titleA Coupled Eulerian Lagrangian Model to Predict Fundamental Process Variables and Wear Rate on Ferrite-pearlite Steelseu_ES
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2eu_ES
dcterms.sourceProcedia CIRPeu_ES
local.description.peerreviewedtrueeu_ES
local.identifier.doihttps://doi.org/10.1016/j.procir.2017.03.194eu_ES
local.relation.projectIDGV/Convocatoria de ayudas a la Investigación básica y-o aplicada 2014-2015/PI_2014_1_116/CAPV/Estudio de la influencia de la microestructura de aceros y superaleaciones base níquel en la maquinabilidad e integridad superficial de componentes mecanizados/MICROMAQUINTE
local.relation.projectIDGE/Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Convocatoria 2015, Modalidad 1: Proyectos de I+D+I/DPI2015-67667-C3-3-R/ES/Modelización y análisis experimental del proceso de mecanizado en la escala micro/EMULATE
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/RFCS/RFSR-CT-2014-00020/EU/Innovative Method dedicated to the development of a ferrite-pearlite grade regarding its Machinability/IMMAC
local.source.detailsVol.58. Pp. 251-256, 2018eu_ES
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501eu_ES
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85eu_ES


Ficheros en el ítem

Thumbnail
Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(es)

Registro sencillo

Attribution-NonCommercial-NoDerivatives 4.0 International
Excepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International