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Modelling induction skull melting design modifications

Modelling induction skull melting design modifications

Bojarevics, V. and Pericleous, K. ORCID: 0000-0002-7426-9999 (2003) Modelling induction skull melting design modifications. In: LMPC 2003. Proceedings of the International Symposium on Liquid Metal Processing and Casting. École des Mines de Nantes, France, pp. 183-192.

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Abstract

Induction Skull Melting (ISM) is a technique for heating, melting, mixing and, possibly, evaporating reactive liquid metals at high temperatures with a minimum contact at solid walls. The presented numerical modelling involves the complete time dependent process analysis based on the coupled electromagnetic, temperature and turbulent velocity fields during the melting and liquid shape changes. The simulation model is validated against measurements of liquid metal height, temperature and heat losses in a commercial size ISM furnace. The observed typical limiting temperature plateau for increasing input electrical power is explained by the turbulent convective heat losses. Various methods to increase the superheat within the liquid melt, the process energy efficiency and stability are proposed.

Item Type: Conference Proceedings
Title of Proceedings: LMPC 2003. Proceedings of the International Symposium on Liquid Metal Processing and Casting
Additional Information: [1] This paper was presented at the 2003 International Symposium on Liquid Metal Processing and Casting (LMPC 2003), held from 21-24 September 2003 in Nancy, France.
Uncontrolled Keywords: induction skull melting (ISM), liquid melt, solid walls, turbulent velocity fields
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QC Physics
T Technology > TP Chemical technology
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/667

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