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This work has received funding from the European Union's Horizon 2020 research and innovation program under Grant Agreement N degrees 869268. It was also partially supported by MCIN/AEI/10.13039/501100011033/FEDER, UE through grant PID2021-122625OBI00 and by Xunta de Galicia funds under grant GRC GI-1563-ED431C 2021/15. The authors are particularly grateful to Elkem (especially to Veronika Djupvik and Krister Engvoll) for providing the experimental data used in this paper, and to Fundiciones Rey (especially to Luis Rey and Susana Rey) , as well as to Javier Bullon and Jacobo Otero, for their valuable input and the many insightful discussions throughout the project.
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Perez-Perez, L JAuthorMultiphysics simulation of slag melting in an induction furnace for sustainable silicon production
Publicated to:Applied Mathematical Modelling. 145 116107- - 2025-09-01 145(), DOI: 10.1016/j.apm.2025.116107
Authors: Bermudez, A; Crego, O; Ferrin, J L; Garcia, B; Gomez, D; Martinez, I; Perez-Perez, L J; Salgado, P
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Abstract
This work presents a multiphysics mathematical modelling and numerical simulation of the slag melting process in an induction furnace, with a focus on the production of sustainable silicon through the EU SisAl Pilot project. The mathematical model incorporates electromagnetic, thermal and hydrodynamic phenomena in a coupled axisymmetric framework to simulate the melting of a CaO-SiO2 slag, a key component in the aluminothermic reduction process for silicon production. The model addresses the challenge of heating the poorly electrically conductive slag using a graphite crucible and it also accounts for buoyancy-driven convection in the molten slag. The numerical simulations are validated against experimental data from pilot scale trials at Elkem's plant in Norway. In addition, sensitivity analyses are carried out considering both the progressive filling of the furnace and the inclusion of surface-to-surface radiation models.
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Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Applied Mathematical Modelling due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 24/175, thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering, Multidisciplinary.