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A Computational Fluid Dynamics Study on Physical Refining of Steel Melts by Filtration
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.ORCID iD: 0000-0002-7957-348X
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Process.
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Process.ORCID iD: 0000-0001-9775-0382
2023 (English)In: Metals, ISSN 2075-4701, Vol. 13, no 6, article id 1022Article in journal (Refereed) Published
Abstract [en]

In this paper, a previous experimental investigation on physical refining of steel melts by filtration was numerically studied. To be specific, the filtration of non-metallic alumina inclusions, in the size range of 1-100 & mu;m, was stimulated from steel melt using a square-celled monolithic alumina filter. Computational fluid dynamics (CFD) studies, including simulations of both fluid flow and particle tracing using the one-way coupling method, were conducted. The CFD predicted results for particles in the size range of & LE;5 & mu;m were compared to the published experimental data. The modeled filtration setup could capture 100% of the particles larger than 50 & mu;m. The percentage of the filtered particles decreased from 98% to 0% in the particle size range from 50 & mu;m to 1 & mu;m.

Place, publisher, year, edition, pages
MDPI AG , 2023. Vol. 13, no 6, article id 1022
Keywords [en]
steel refining, steel filtration, alumina filters, ceramic filters
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:kth:diva-331697DOI: 10.3390/met13061022ISI: 001015281000001OAI: oai:DiVA.org:kth-331697DiVA, id: diva2:1782473
Note

QC 20230714

Available from: 2023-07-14 Created: 2023-07-14 Last updated: 2023-07-14Bibliographically approved

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Akbarnejad, ShahinSheng, Dong-yuanJönsson, Pär

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