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Modelling induction melting energy savings

Modelling induction melting energy savings

Bojarevics, V. and Pericleous, K. ORCID: 0000-0002-7426-9999 (2001) Modelling induction melting energy savings. In: Proceedings of the International Colloquium. Modelling for Saving Resources. Riga, May 17-18, 2001. Laboratory for Mathematical Modelling of Environmental and Technological Processes, University of Latvia, Riga, Latvia, pp. 11-16. ISBN 998466189X

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Abstract

Electromagnetic processing of liquid metals involves dynamic change of the fluid volume interfacing with a melting solid material, gas or vacuum, and possibly a different liquid. Electromagnetic field and the associated force field are strongly coupled to the free surface dynamics and the heat-mass transfer. We present practical modelling examples of the flow and heat transfer using an accurate pseudo-spectral code and the k-omega turbulence model suitable for complex and transitional flows with free surfaces. The 'cold crucible' melting is modelled dynamically including the melting front gradual propagation and the magnetically confined free surrounding interface. Intermittent contact with the water-cooled segmented wall and the radiation heat losses are parts of the complex problem.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of the International Colloquium. Modelling for Saving Resources. Riga, May 17-18, 2001
Additional Information: [1] This paper was first presented at the International Scientific Colloquium "Modelling for Saving Resources" held from 17-18 May 2001 in Riga, Latvia.
Uncontrolled Keywords: electromagnetic processing, liquid metals, cold crucible melting, CCM
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TJ Mechanical engineering and machinery
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
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Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/517

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