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Diagnosis and optimisation of continuous casting practices through numerical modelling
KTH Royal Institute of Technology, Sweden.
RISE, Swerea, MEFOS.
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2016 (English)In: La Metallurgia Italiana, ISSN 0026-0843, Vol. 108, no 2, p. 43-49Article in journal (Refereed) Published
Abstract [en]

An advanced numerical model has been used to diagnose casting practices for a peritectic grade in a Scandinavian steel producer. The model solves the Navier-Stokes equations by use of an interface tracking technique known as the Volume of Fluid (VOF). Furthermore, the model considers heat transfer, solidification and uses Discrete Phase Model to simulate a multiple phase system of steel, slag and argon. As a result, it is possible to predict the metal flow and slag infiltration as well as their influence on the heat flux and solidification under the effect of gas Injection and for transient conditions. Recent improvements to the model include a separation between mould powder and slag film and the consideration of the effect of crystallization on the interfacial resistance for a peritectic mould powder. The casting parameters analysed consist of the casting speed Interlocked with oscillation settings, Submerged Entry Nozzle (SEN) Immersion depths and argon injection flow rates. These practices were optimised by performing parametric studies to evaluate the shell growth, lubrication depth, cooling channel heat flux, etc. The application of the model allows for a prediction of trends and the results provide opportunities for further Improvement in the form of guidelines for the process and enhanced operational windows. The model has been tested under industrial conditions and the results indicate the improvements of the surface quality and process stability can be obtained.

Place, publisher, year, edition, pages
Associazione Italiana di Metallurgia , 2016. Vol. 108, no 2, p. 43-49
Keywords [en]
ARGON INJECTION, CONTINUOUS CASTING, IMMERSION DEPTH, MOULD OSCILLATION, NUMERICAL MODELLING, SHELL GROWTH, Heat flux, Heat transfer, Injection (oil wells), Molds, Navier Stokes equations, Oscillating flow, Powder metals, Setting, Slags, Solidification, Steelmaking, Discrete phase model, Industrial conditions, Injection flow rate, Interfacial resistances, Mould oscillations, Submerged entry nozzles, Transient conditions, Numerical models
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-42077Scopus ID: 2-s2.0-84968813916OAI: oai:DiVA.org:ri-42077DiVA, id: diva2:1378691
Available from: 2019-12-13 Created: 2019-12-13 Last updated: 2019-12-13Bibliographically approved

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CiteExportLink to record
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