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Advanced alumina dissolution modelling

Advanced alumina dissolution modelling

Bojarevics, Valdis ORCID: 0000-0002-7326-7748 and Dupuis, Marc (2022) Advanced alumina dissolution modelling. In: Light Metals 2022. The Minerals, Metals & Materials Series (MMMS) - Chemistry and Materials Science, Chemistry and Material Science (R0) . Springer - The Minerals, Metals & Materials Society, Cham, Switzerland, pp. 339-348. ISBN 978-3030925284; 978-3030925291 ISSN 2367-1181 (Print), 2367-1696 (Online) (doi:https://doi.org/10.1007/978-3-030-92529-1_47)

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Abstract

Alumina feeding requires optimization for the feed amount, timing, and point feeder locations. The alumina raft formation and dispersion are the essential stages leading to the particles of various sizes travel with the bath flow along anodes in the central channel, in the bath volume beneath the anodes, and gradually dissolving. The raft motion and particles are traced accounting for their inertia, drag in the turbulent flow, the dome-shaped anode bottom shape. Large-scale MHD-driven circulation in the cell is modelled using specific inputs corresponding to real commercial cells of various types. The feed material forming rafts and particles is added periodically, moves with the flow, and gradually dissolves depending on the local turbulence and instantaneous concentration in a location. The newly developed modelling technique is applied to illustrate possible optimization of the feeder locations, the variable mass, and feeding time intervals for possible adjustments suitable for commercial cells.

Item Type: Conference Proceedings
Title of Proceedings: Light Metals 2022
Uncontrolled Keywords: aluminium electrolysis cell; alumina dissolution; particle tracking; magneto hydrodynamics; turbulent mixing
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TP Chemical technology
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG)
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified: 26 May 2022 13:50
URI: http://gala.gre.ac.uk/id/eprint/36309

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