Dynamic Current Distribution in the Electrodes of Submerged Arc Furnace Using Scalar and Vector Potentials

Almenn færsla
dc.contributor.authorTesfahunegn, Yonatan Afework
dc.contributor.authorMagnusson, Thordur
dc.contributor.authorTangstad, Merete
dc.contributor.authorSaevarsdottir, Gudrun
dc.contributor.authorKrzhizhanovskaya, Valeria V.
dc.contributor.authorLees, Michael Harold
dc.contributor.authorSloot, Peter M.
dc.contributor.authorDongarra, Jack
dc.contributor.authorShi, Yong
dc.contributor.authorTian, Yingjie
dc.contributor.authorFu, Haohuan
dc.contributor.departmentDepartment of Engineering
dc.date.accessioned2026-09-24T13:37:01Z
dc.date.available2026-09-24T13:37:01Z
dc.date.issued2018
dc.descriptionPublisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.en
dc.description.abstractThis work presents computations of electric current distributions inside an industrial submerged arc furnace. A 3D model has been developed in ANSYS Fluent that solves Maxwell’s equations based on scalar and vector potentials approach that are treated as transport equations. In this paper, the approach is described in detail and numerical simulations are performed on an industrial three-phase submerged arc furnace. The current distributions within electrodes due to skin and proximity effects are presented. The results show that the proposed method adequately models these phenomena.en
dc.description.versionPeer revieweden
dc.format.extent10
dc.format.extent976659
dc.format.extent518-527
dc.format.extent
dc.identifier.citationTesfahunegn, Y A, Magnusson, T, Tangstad, M & Saevarsdottir, G 2018, Dynamic Current Distribution in the Electrodes of Submerged Arc Furnace Using Scalar and Vector Potentials. in V V Krzhizhanovskaya, M H Lees, P M Sloot, J Dongarra, Y Shi, Y Tian & H Fu (eds), Computational Science – ICCS 2018 - 18th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10861 LNCS, Springer Verlag, pp. 518-527, 18th International Conference on Computational Science, ICCS 2018, Wuxi, China, 11/06/18. https://doi.org/10.1007/978-3-319-93701-4_40en
dc.identifier.citationconferenceen
dc.identifier.doi10.1007/978-3-319-93701-4_40
dc.identifier.isbn9783319937007
dc.identifier.issn0302-9743
dc.identifier.other250850983
dc.identifier.other79c7bb2b-784c-4003-97ee-865b8b24dabe
dc.identifier.other85049072126
dc.identifier.urihttps://hdl.handle.net/20.500.11815/8347
dc.language.isoen
dc.publisherSpringer Verlag
dc.relation.ispartofseriesComputational Science – ICCS 2018 - 18th International Conference, Proceedings; ()en
dc.relation.ispartofseriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 10861 LNCS()en
dc.relation.urlhttps://www.scopus.com/pages/publications/85049072126en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectCurrent distributionen
dc.subjectProximity effecten
dc.subjectSkin effecten
dc.subjectSubmerged arc furnaceen
dc.subjectTheoretical Computer Scienceen
dc.subjectGeneral Computer Scienceen
dc.titleDynamic Current Distribution in the Electrodes of Submerged Arc Furnace Using Scalar and Vector Potentialsen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontobookanthology/conferenceen

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