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dc.rights.licenseAttribution 4.0 International
dc.contributor.authorMuñiz García, Laura
dc.contributor.authorTrinidad Naranjo, Javier
dc.contributor.authorGALDOS, Lander
dc.contributor.otherGarcía, Eduardo
dc.contributor.otherPeinado, Iván
dc.contributor.otherMontes, Nicolás
dc.date.accessioned2024-02-02T08:53:13Z
dc.date.available2024-02-02T08:53:13Z
dc.date.issued2023
dc.identifier.issn2075-4442 (online)
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=173013
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6222
dc.descriptionGobierno de España. CDTI. SMART EUREKA. IDI-20220061. Intelligent and sustainable stamping processes using hybrid control strategies together with process monitoring. iStamp
dc.description.abstractThe use of numerical simulations for tool tryout and process control is becoming increasingly prevalent. In this work, the deep drawing process of a car inner door panel of DC06 mild steel is numerically analyzed and compared with industrial process results. Five batches of DC06 material were analyzed mechanically and tribologically. Diverse tribological models were developed based on experimental strip drawing tests, where a Coefficient of Friction (CoF) was obtained as a function of contact pressure, sliding velocity, and amount of lubricant. A topography analysis was defined to compare material batches and to replicate industrial tool conditions. The simulation was fed with three tribological models: constant (CoF 0.15), Filzek pressure and velocity dependent, and TriboForm with lubrication zones. Thinning, Forming Limit Diagram (FLD) and draw-in were used as indicators for the comparison. Using the industrial tool, both FLD and draw-in were measured and compared with the numerical models. The constant model predicted the most conservative strain state and also differed most from the experimental results. The P-v-dependent and TriboForm models more accurately predicted the experimental results. This work highlights the importance of considering more complex tribological models to feed numerical simulations to yield results closer to real process conditions.en
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2023 The Authors
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectsheet metal formingen
dc.subjectdeep drawingen
dc.subjectmodeling
dc.subjectfriction
dc.subjecttribological model
dc.subjectlubrication
dc.subjectsliding
dc.subjectstrip drawing test
dc.titleOn the Use of Advanced Friction Models for the Simulation of an Industrial Stamping Process including the Analysis of Material and Lubricant Fluctuations
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2
dcterms.sourceLubricants
local.contributor.groupProcesos avanzados de conformación de materialeses
local.description.peerreviewedtrue
local.identifier.doihttps://doi.org/10.3390/lubricants11050193
local.contributor.otherinstitutionFORD MOTOR COMPANY
local.contributor.otherinstitutionhttps://ror.org/01tnh0829
local.source.detailsVol. 11. N. 5. N. art. 193, 2023
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
oaire.funderNameGobierno de España
oaire.funderIdentifierhttps://ror.org/038jjxj40 http://data.crossref.org/fundingdata/funder/10.13039/501100010198
oaire.fundingStreamCDTI. SMART EUREKA
oaire.awardNumberIDI-20220061
oaire.awardTitleIntelligent and sustainable stamping processes using hybrid control strategies together with process monitoring (iStamp)
oaire.awardURISin información


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