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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorOrtiz-de-Zarate, Gorka
dc.contributor.authorMadariaga, Aitor
dc.contributor.authorPerez Guisado, Ion
dc.contributor.authorARRAZOLA, PEDRO JOSE
dc.date.accessioned2024-10-07T06:50:45Z
dc.date.available2024-10-07T06:50:45Z
dc.date.issued2024
dc.identifier.issn2212-8271en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=177728en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6644
dc.description.abstractThin-walled aluminium components used in the structure of aircrafts are subjected to fatigue loads. Fatigue performance of those components is affected by the surface integrity generated in the last machining step. This paper proposes an analytical model to identify the fatigue crack initiation site considering the surface topography, residual stresses (RS) and mechanical properties induced by machining. To validate the model fatigue samples of aluminium 7050-T7451 were prepared by face milling. Machining-induced RS were measured by hole-drilling and the surface topography of the gauge region of the fatigue samples was characterised using a confocal microscope. Then, uniaxial fatigue tests were done at R = 0.1 and subsequently the fracture was analysed. The model predicted nucleation of cracks at the surface when the stress amplitude was above 290 MPa. Fatigue tests done at an amplitude of 350 MPa confirmed crack initiation at the points with the highest stress concentration predicted by the model. By contrast, the cracks were nucleated at the side of the samples when the stress amplitude was below 290 MPa. In fact, compressive RS induced by face milling protected the surface from crack nucleation at lower applied stresses as predicted by the model.en
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2024 The Author(s)en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSurface topographyen
dc.subjectResidual stressesen
dc.subjectFatigueen
dc.subjectmodellingen
dc.subjectaluminium alloysen
dc.subjectODS 9 Industria, innovación e infraestructuraes
dc.titleAnalytical model to identify crack initiation in machined aluminium partsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceProcedia CIRPen
local.contributor.groupMecanizado de alto rendimientoes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1016/j.procir.2024.05.049en
local.contributor.otherinstitutionhttps://ror.org/027m9bs27es
local.source.detailsVol. 123. Pp. 274-279, 2024
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.fundingStreamElkartek 2022en
oaire.awardNumberKK-2022/00109en
oaire.awardTitleSuperficies multifuncionales en la frontera del conocimiento (FRONTIERS 2022)en
oaire.awardURISin informaciónen


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