Vis enkel innførsel

dc.contributor.authorEinarsrud, Kristian Etienne
dc.contributor.authorEick, Ingo
dc.contributor.authorBai, Wei
dc.contributor.authorFeng, Yuqing
dc.contributor.authorHua, Jinsong
dc.contributor.authorWitt, Peter J.
dc.date.accessioned2018-03-07T11:42:42Z
dc.date.available2018-03-07T11:42:42Z
dc.date.created2017-01-06T13:26:46Z
dc.date.issued2017
dc.identifier.citationApplied Mathematical Modelling. 2017, 44 3-24.nb_NO
dc.identifier.issn0307-904X
dc.identifier.urihttp://hdl.handle.net/11250/2489215
dc.description.abstractAluminium metal production through electrolytic reduction of alumina in a cryolite bath is a complex, multi-physics, multi-scale process, including magneto-hydrodynamics (MHD), bubble flow, thermal convection, melting and solidification phenomena based on a set of chemical reactions. Through interactions of the different forces applied to the liquid bath combined with the different time and length scales, self-organised fluctuations occur. Moreover, the MHD behaviour causes a complex metal pad profile and a series of surface waves due to the meta-stable condition of the metal/cryolite interface. The large aspect ratio of an industrial cell, with a footprint of 20 by 4 m and at the same time having dimensions approaching just 30 mm of height for the reaction zone, prevents an integrated approach where all relevant physics are included in a single mathematical model of this large degree of freedom system. In order to overcome these challenges, different modelling approaches have been established in ANSYS® FLUENT®; Three models are used to predict details of specific physics: one to predict the electro-magnetic forces and hence the metal pad profile, a second that resolves details of the local bubble dynamics around a single anode and a third for the full cell bath flow. Results from these models are coupled to allow integration of the different phenomena into a full cell alumina distribution model. The current paper outlines each of the approaches and presents how the coupling between them can be realized in a complete framework, aiming to provide new insight into the process.nb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleTowards a coupled multi-scale, multi-physics simulation framework for aluminium electrolysisnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersionnb_NO
dc.rights.holder© 2016 Elsevier Inc. All rights reserved.nb_NO
dc.source.pagenumber3-24nb_NO
dc.source.volume44nb_NO
dc.source.journalApplied Mathematical Modellingnb_NO
dc.identifier.doi10.1016/j.apm.2016.11.011
dc.identifier.cristin1422369
cristin.unitcode7492,1,5,0
cristin.unitnameMaterialprosessering
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal