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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorSajjad, Muhammad
dc.contributor.authorTrinidad Naranjo, Javier
dc.contributor.authorPlata, Gorka
dc.contributor.authorLozares, Jokin
dc.contributor.authorMendiguren, Joseba
dc.date.accessioned2024-04-11T09:07:12Z
dc.date.available2024-04-11T09:07:12Z
dc.date.issued2024
dc.identifier.issn2195-3597en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=174502en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6348
dc.description.abstractForging at near solidus material state takes advantage of the high ductility of the material at the semi solid or soft-solid state while keeping most of the mechanical properties of a forged part. The technology is at maturity level ready for its industrial implementation. However, to implement the process for complex cases the development of an appropriate digital twin (DT) is necessary. While developing a material model, a strong experimental and DT is necessary to be able to evaluate the accuracy of the model. Aimed at having a reliable DT under control, for future material model validations, the main objective of this work is to develop a sensitivity analysis of three NSF industrial cases such as Hook, R spindle and H spindle to develop an adequate DT calibration procedure. Firstly, the benchmark experimentation process parameter noise and experimentation boundary conditions (BCs) parameter uncertainty are identified. Secondly, the three industrial benchmark DTs are constructed, and a Taguchi design of experiments (DoEs) methodology is put in place to develop the sensitivity analysis. Finally, after simulations the results are critically evaluated and the sensitivity of each benchmark to the different inputs (process parameter noise and BC parameter uncertainty) is studied. Lastly, the optimum DT calibration procedure is developed. Overall, the results stated the minimum impact of the material model in terms of dies filling. Nevertheless, even if the material model is the highest impacting factor for the forging forces other inputs, such as heat transfer and friction must be under control first.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 infraestructura
dc.subjectODS 12 Producción y consumo responsables
dc.titleSensitivity Analysis of Near Solidus Forming (NSF) Process with Digital Twin Using Taguchi Approachen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceAdvances in Manufacturingen
local.contributor.groupProcesos avanzados de conformación de materialeses
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1007/s40436-024-00482-4en
local.rights.publicationfeeAPCen
local.rights.publicationfeeamountAcuerdo transformativo Springeren
local.contributor.otherinstitutionhttps://ror.org/00ne6sr39en
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.funderNameComisión Europeaen
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780en
oaire.fundingStreamResearch Fund for Coal and Steel (RFCS)en
oaire.awardNumberRFCS-2018-800763en
oaire.awardTitleHybrid Semi-Solid Forming (HSSF)en
oaire.awardURISin informaciónen


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