Erregistro soila

dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorUrtasun Marco, Beñat
dc.contributor.authorAndonegi, Imanol
dc.contributor.otherGorostegui-Colinas, Eider
dc.date.accessioned2024-03-26T13:54:25Z
dc.date.available2024-03-26T13:54:25Z
dc.date.issued2023
dc.identifier.issn2045-2322en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=174267en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6322
dc.description.abstractA novel multi-directional eddy current thermography (ECT) system is presented generating sets of directional phase images that have been fused with a processing pipeline allowing for an improved probability of detection (POD). Inhomogeneous electromagnetic Joule heating derived from the diversion of induced eddy currents provoked by cracks, altering its path around as well as under its bottom, is the principal phenomenon enabling its usage as a non-destructive-evaluation (NDE) technique. Most induction thermography systems employ inductors derived from old designs, optimized for localized heating with a fixed magnetic field direction. This provokes a directional detection blind-spot for surfaces with random crack orientations. In this paper we have observed that the pattern associated with the thermal response distribution can be geometrically correlated to the relative orientation of the magnetic field regarding the crack, conforming to a rotating feature that has not been described before. Extracting the apparent motion as an optical flow, with a phase-shifting interpolation of the intermediate orientations, generates a signal that enables a robust segmentation of a wide variety of defects in ferritic and austenitic alloys. Its performance has been evaluated with two ‘Hit/Miss’ POD studies TIG welds Inconel 718 and Haynes 282 alloys. Results show an increased detectability regarding the manual labelling of the defects in the same directional set, employing the same input.en
dc.language.isoengen
dc.publisherSpringer Natureen
dc.rights© 2023 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectODS 9 Industria, innovación e infraestructuraes
dc.titlePhase-shifted imaging on multi-directional induction thermographyen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceScientific Reportsen
local.contributor.groupRobótica y automatizaciónes
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1038/s41598-023-44363-5en
local.contributor.otherinstitutionhttps://ror.org/04z0p3077en
local.source.detailsVol. 13. N. art. 17540, 2023
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
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-2022/00024en
oaire.awardTitleProducción Fluída y Resiliente para la Industria inteligente (PROFLOW)en
oaire.awardURISin información
dc.unesco.campohttp://skos.um.es/unesco6/33en


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