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dc.contributor.authorHalvorsen, Svenn Anton
dc.contributor.authorSparta, Manuel
dc.contributor.authorRisinggård, Vetle Kjær
dc.contributor.authorFromreide, Mads
dc.date.accessioned2024-05-28T10:39:36Z
dc.date.available2024-05-28T10:39:36Z
dc.date.created2021-10-18T08:03:21Z
dc.date.issued2021
dc.identifier.issn1556-5068
dc.identifier.urihttps://hdl.handle.net/11250/3131687
dc.description.abstractElMet is the short name for a competence project (2015-2020) on electrical conditions in 3-phase submerged arc furnaces (SAFs). In the project, NORCE has cooperated closely with The Norwegian University of Science and Technology (NTNU), University of Oxford, University of Santiago de Compostela, and the industrial partners, Elkem and Eramet Norway. ElMet has focused on mathematical modelling, and a set of tools have been utilized: • Basic equation analysis, together with very simplified models, have clarified fundamental aspects. • 2D and 3D models have then supplied important overall insight. • Finally, metamodels have enabled a link between physics- and data-based modelling. The ElMet project has established a sound basis for understanding electrical conditions in SAFs, and proper tools have been developed and tested for future use: • Flexible 3D simulations models to be applied for various case studies. • A strong electromagnetic proximity effect for (almost) parallel currents has been discovered. • Induced currents in the furnace steel shell carry information that might be utilized for identification of inner conditions. • Metamodels, together with additional measurements, seem suitable for on-line use and to identify inner furnace conditions.en_US
dc.language.isoengen_US
dc.titleElectrical conditions in 3-phase submerged arc furnaces: learning from the ElMet projecten_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode0
dc.identifier.doi10.2139/ssrn.3926712
dc.identifier.cristin1946534
dc.source.journalSocial Science Research Network (SSRN)en_US


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