Towards a coupled multi-scale, multi-physics simulation framework for aluminium electrolysis

被引:30
|
作者
Einarsrud, Kristian Etienne [1 ]
Eick, Ingo [2 ]
Bai, Wei [3 ]
Feng, Yuqing [4 ]
Hua, Jinsong [5 ]
Witt, Peter J. [4 ]
机构
[1] Norwegian Univ Sci & Technol, Fac Technol, Dept Chem & Mat Sci, N-7030 Trondheim, Norway
[2] Hydro Aluminium, Koblenzer Str 122, D-41468 Neuss, Germany
[3] SINTEF Mat & Chem, N-7465 Trondheim, Norway
[4] CSIRO Mineral Resources, Bayview Ave, Clayton, Vic 3168, Australia
[5] Inst Energy Technol IFE, N-2027 Kjeller, Norway
关键词
Aluminium electrolysis; Computational fluid dynamics; MHD; Multi-scale modelling; BUBBLE BEHAVIOR; DISSOLUTION; CELL; BATH;
D O I
10.1016/j.apm.2016.11.011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Aluminium 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 (R) FLUENT (R); 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. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:3 / 24
页数:22
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