Registro sencillo

dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International
dc.contributor.authorZabala, Alaitz
dc.contributor.authorLlavori, Inigo
dc.contributor.authorSáenz de Argandoña, Eneko
dc.contributor.authorMendiguren, Joseba
dc.date.accessioned2020-09-25T14:27:25Z
dc.date.available2020-09-25T14:27:25Z
dc.date.issued2020
dc.identifier.issn1526-6125en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=159942en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/1838
dc.description.abstractAutomotive die spotting is one of the most complex and least standardized processes in the tool making process. A spotting expert identifies local contact areas through a blue-paste pattern and the die/sheet contact is optimized by manual grinding. Research performed on the impact of tribology conditions and surface irregularities on die behaviour have demonstrated the critical importance of die/sheet contact. Therefore, correctly understanding, standardizing, and automatizing die spotting is of a great interest for the industry. In this work, the first step toward the die spotting automation is performed by decrypting the contact blue pattern. Different test procedures were followed in order to decrypt the relation between the blue-paste pattern and the contact pressure and gap appearance in the interface. Additionally, a numerical method for automatic contact pressure detection based on the blue pattern was developed and validated. The outcome of this study is presented as potential tool for objective decision making towards the automation of the die spotting process and die contact analysis, focused to decrease try-out loops and thus reducing production time and costs.en
dc.description.sponsorshipGobierno de Españaes
dc.language.isoengen
dc.publisherElsevier Ltd.en
dc.rights© 2020 The Society of Manufacturing Engineersen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectContact surfaceen
dc.subjectDie spottingen
dc.subjectStampingen
dc.subjectBlue-pasteen
dc.titleTowards the automation of the die spotting process: Contact blue pattern decryptionen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceJournal of Manufacturing Processesen
local.contributor.groupTecnologías de superficieses
local.description.peerreviewedtrueen
local.description.publicationfirstpage1285en
local.description.publicationlastpage1296en
local.identifier.doihttps://doi.org/10.1016/j.jmapro.2020.09.022en
local.relation.projectIDGE/Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, en el marco del Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RTC-2017-6245-4/Desarrollo de nuevas tecnologías de vanguardia para la producción de superficies funcionales de alto valor añadido orientadas al sector del estampado de aluminio/ALUTOOLen
local.embargo.enddate2022-10-31
local.source.detailsVol. 58. Pp. 1285-1296,en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


Ficheros en el ítem

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