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Anode bottom burnout shape and velocity field investigation in a high amperage electrolysis cell

Anode bottom burnout shape and velocity field investigation in a high amperage electrolysis cell

Bojarevics, V., Radionov, E. and Tretiyakov, Y. (2018) Anode bottom burnout shape and velocity field investigation in a high amperage electrolysis cell. In: Light Metals 2018. The Minerals, Metals & Materials Series . Springer, Cham, USA, pp. 551-556. ISBN 978-3-319-72283-2 (doi:https://doi.org/10.1007/978-3-319-72284-9_72)

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Abstract

Long term burnout shape of the anode bottom is believed to reflect the quasi-stationary liquid metal interface dome-shaped deformation. The shape profiles and their interplay affect the MHD stability, the velocity fields, set up of new anodes and electrical efficiency of the cell. Spent prebake anode bottom profiles were systematically measured at Rusal 309 kA cell to obtain the overall view of the liquid metal deformation. The magnetic field distribution and velocities of liquid metal flow were measured in order to obtain a more complete characterization of the cell. The results are compared to the modelling results using the specialised MHD-VALDIS software giving the insight to the cell dynamics.

Item Type: Conference Proceedings
Title of Proceedings: Light Metals 2018
Uncontrolled Keywords: magnetohydrodynamics of liquid metals, model validation, aluminium electrolysis cells, RUSAL technology
Subjects: Q Science > QA Mathematics
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Architecture, Computing & Humanities > Department of Mathematical Sciences
Last Modified: 01 May 2018 15:13
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: GREAT b
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19598

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