Show simple item record

dc.contributor.authorAnglada, Eva
dc.contributor.authorBoto, Fernando
dc.contributor.authorGarcía de Cortazar, Maider
dc.contributor.authorGarmendia, Iñaki
dc.date.accessioned2021-11-09T07:54:40Z
dc.date.available2021-11-09T07:54:40Z
dc.date.issued2021-10-31
dc.identifier.citationAnglada, Eva, Fernando Boto, Maider García de Cortazar, and Iñaki Garmendia. “Metamodels’ Development for High Pressure Die Casting of Aluminum Alloy.” Metals 11, no. 11 (October 31, 2021): 1747. doi:10.3390/met11111747.en
dc.identifier.urihttp://hdl.handle.net/11556/1223
dc.description.abstractSimulation is a very useful tool in the design of the part and process conditions of high pressure die casting (HPDC), due to the intrinsic complexity of this manufacturing process. Usually, physics-based models solved by finite element or finite volume methods are used, but their main drawback is the long calculation time. In order to apply optimization strategies in the design process or to implement online predictive systems, faster models are required. One solution is the use of surrogate models, also called metamodels or grey-box models. The novelty of the work presented here lies in the development of several metamodels for the HPDC process. These metamodels are based on a gradient boosting regressor technique and derived from a physics-based finite element model. The results show that the developed metamodels are able to predict with high accuracy the secondary dendrite arm spacing (SDAS) of the cast parts and, with good accuracy, the misrun risk and the shrinkage level. Results obtained in the predictions of microporosity and macroporosity, eutectic percentage, and grain density were less accurate. The metamodels were very fast (less than 1 s); therefore, they can be used for optimization activities or be integrated into online prediction systems for the HPDC industry. The case study corresponds to several parts of aluminum cast alloys, used in the automotive industry, manufactured by high-pressure die casting in a multicavity mold.en
dc.description.sponsorshipThis work was supported by projects OASIS and SMAPRO. The OASIS project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 814581. The SMAPRO project has received funding from the Basque Government under the ELKARTEK Program (KK-2017/00021).en
dc.language.isoengen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleMetamodels’ Development for High Pressure Die Casting of Aluminum Alloyen
dc.typearticleen
dc.identifier.doi10.3390/met11111747en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/814581/EU/Open Access Single entry point for scale-up of Innovative Smart lightweight composite materials and components/OASISen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsSimulationen
dc.subject.keywordsModelingen
dc.subject.keywordsFEMen
dc.subject.keywordsMetamodelen
dc.subject.keywordsGradient boostingen
dc.subject.keywordsDie castingen
dc.subject.keywordsAluminumen
dc.subject.keywordsHPDCen
dc.subject.keywordsMetal castingen
dc.identifier.essn2075-4701en
dc.issue.number11en
dc.journal.titleMetalsen
dc.page.initial1747en
dc.volume.number11en


Files in this item

Thumbnail

    Show simple item record

    Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International