Shallow water model for aluminium electrolysis cells with variable top and bottom
Bojarevics, Valdis and Pericleous, Koulis A. (2008) Shallow water model for aluminium electrolysis cells with variable top and bottom. In: DeYoung, David H., (ed.) Light Metals 2008: Proceedings of the Technical Sessions Presented by the Tms Aluminum Committee at the Tms 2008 Annual Meeting and Exhibition, New Orleans, Louisiana, USA. TMS (The Minerals, Metals & Materials Society), Warrendale, PA, USA, pp. 403-408. ISBN 9780873397100Full text not available from this repository.
The MHD wave instability in commercial cells for electrolytic
aluminium production is often described using ‘shallow water’
models. The model  is extended for a variable height cathode bottom and anode top to account for realistic cell features. The variable depth of the two fluid layers affects the horizontal current density, the wave development and the stability threshold. Instructive examples for the 500 kA cell are presented.
|Item Type:||Book Section|
|Additional Information:||This paper forms part of the Proceedings of the technical sessions presented by the TMS Aluminium Committee, at the TMS 2008 annual meeting and exhibition, held 9-13 March 2008, in New Orleans, Louisiana, USA. ISBN 10: 087339710X This entry refers to the original and complete Light Metals 2008 (print version) which is currently out of print and no longer available. However, a number of individual subject-area volumes (four in total) are still available (for purchase from TMS). This particular paper is included in Light Metals 2008, Volume 2: Aluminum Reduction, available in print and CD ROM formats (ISBN 978-0-87339-722-3).|
|Uncontrolled Keywords:||aluminium electrolysis cells, MHD stability, interface waves, shallow layer, dynamic multiphysics modelling|
|Subjects:||T Technology > TN Mining engineering. Metallurgy
Q Science > QA Mathematics
|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 Mathematical Sciences
|Last Modified:||14 Oct 2016 09:03|
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