Bojarevics, Valdis ORCID: 0000-0002-7326-7748 (2019) Dynamic modelling of alumina feeding in an aluminium electrolysis cell. In: Chesonis, Corleen, (ed.) Light Metals 2019. The Minerals, Metals & Materials Series . Springer, Cham, Switzerland, pp. 675-682. ISBN 978-3030058630 (doi:https://doi.org/10.1007/978-3-030-05864-7_83)

PDF (Author Accepted Book Chapter) 22525 BOJAREVICS_Dynamic_Modelling_for_Alumina_Feeding_2019.pdf - Accepted Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

Alumina feeding at regular intervals requires optimization for the feeder positions, their number, the feed amount and the timing. The specific composition of the feed material could be variable in the particulate material sizes and the specific density. The addition of particles of various sizes is treated by Lagrangian methods following the tracks of inertial particles subject to drag in the turbulent electrolyte flow. The emphasis is on the large scale circulation which is essential to achieve the desired uniform alumina composition over the whole cell. Each particle is permitted to gradually dissolve in dependence of its individual size and the local concentration field value below the saturation level. This time variable source is used to follow the concentration field development on the Eulerian grid. The newly developed modelling technique is implemented as an add-in to the specialised MHD software for commercial cell modelling and optimisation.

Item Type:	Book Section
Uncontrolled Keywords:	Aluminium electrolysis cell - Alumina feeding - Particle tracking - Turbulent mixing - Dissolution
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	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) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/22525

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