Alumina Dissolution Modeling in Aluminium Electrolysis Cell Considering Mhd Driven Convection and Thermal Impact

Bardet, Benoît; Foetisch, Thomas; Renaudier, Steeve; Jacques, Rappaz; Flueck, Michel; Picasso, Marco

doi:10.1002/9781119274780.ch52

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…assuming well dispersed and distributed alumina grains, with reaction rates adjusted to comply with observed dissolution times [15]. The concept of treating alumina as a specie is extended by Hofer [17] and later by Bardet et al [18] by introducing a PBM model for alumina grains -thus enabling size dependent dissolution kinetics.…”

Section: Euler-euler Formulationmentioning

confidence: 99%

CFD Modelling of Alumina Feeding

Einarsrud

Gylver

Manger

2018

The Minerals, Metals &Amp; Materials Series

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The dissolution and distribution of alumina in molten cryolite bath is a complex process, involving heat and mass transfer, phase transition and dynamics for a particle population with variable size and properties. Although single particle models can describe essential features of the process, they necessarily fail to capture features involving the interaction between particles (i.e. collisions and adhesion) and detailed coupling to the flow field, for which computational fluid dynamics (CFD) is needed. Several strategies and assumptions have been proposed in the literature, focusing on separate phenomena of relevance. Coupled models considering the full history of alumina particles have however not yet been developed. In the current work we investigate and review recent developments in coupled CFD particulate flow, aiming for general guidelines for implementation and use, with applications to both the gas-solid flow between the feeder and bath surface, and from the bath surface to dissolved alumina.

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Section: Euler-euler Formulationmentioning

confidence: 99%

CFD Modelling of Alumina Feeding

Einarsrud

Gylver

Manger

2018

The Minerals, Metals &Amp; Materials Series

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“…Как правило, расчет МГД выполняется в приближении мелкой воды и без учета теплообмена и формы рабочего пространства (ФРП). В работах [7,8] приводятся результаты трехмерного моделирования электролизеров APXe и AP6X с помощью разработанной программы ALUCELL, основной целью которой является возможность сопряженного расчета МГД стабильности ванны, растворения и переноса в электролите глинозема, а также тепловых полей.…”

Section: Introductionunclassified

Mathematical model of magnetic hydrodynamics and heat transfer in aluminium reduction cell

Pianykh

Arkhipov

Tretyakov

2019

Izv.VUZ. Tsvet. Met.

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The paper presents a new nonstationary three-dimensional mathematical model of an aluminium reduction cell which makes it possible to perform coupled thermoelectric and magnetohydrodynamic calculations taking into account sideledge formation. The model considers the nonlinear dependence of material electrical conductivity and thermal conductivity coefficients on temperature, and the nonlinear dependence of magnetization on the magnetic field strength for ferromagnetic materials. Heat transfer coefficients on outer surfaces included the radiant and convective components of heat transfer and were functions of the ambient temperature and the local surface temperature. The energy equation took into account internal heat sources due to the electric current flow, exothermic reactions and additional thermal effects associated with the raw material loading and phase transitions. The control volume method was used to obtain a numerical solution. The developed mathematical model was experimentally tested at the S8BME aluminium reduction cell. The paper presents the calculated and experimental data of magnetic, electric, thermal and hydrodynamic fields. The comparison of calculation results with the results of industrial experiments showed that the developed model reflects physical processes taking place in the aluminium reduction cell with accuracy sufficient for engineering calculations. The calculated values of electrical voltage, magnetic induction and temperature practically coincide with the measured ones. Velocity directions in the metal and the sideledge profile shape obtained by calculation have insignificant differences from experimental values. The developed model can be used to estimate operation specifications and design parameters for new and modernized aluminium reduction cells. Further studies will be aimed at refining the calculated results by improving the developed mathematical model.

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“…Introduction. The anode effect (AE) is a special phenomenon that occurs in an anode under a molten salt electrolysis process [1,2]. It is conducive to cleaning the sediment of hearth bottom and the carbon residue of electrolyte [3].…”

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confidence: 99%

Anode effect prediction based on collaborative two-dimensional forecast model in aluminum electrolysis production

Chen¹,

Li²,

Chen³

et al. 2019

Journal of Industrial &Amp; Management Optimization

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In this study, a new prediction algorithm is proposed, based on the collaborative two-dimensional forecast model (CTFM) that combines the traditional method and similarity search technique. The main idea of the algorithm is that the prediction of the change trend of the slope and the accumulated slope of the cell resistance as well as the useful knowledge obtained using the similarity search technique are used as the main criteria to calculate anode effect (AE)-prediction reliability. The accumulated mass deviation value is used as an auxiliary criterion to adjust the AE-prediction reliability. Finally, the current AE-process is marked according to the current AE-prediction reliability. The prediction model based on CTFM is tested on a real situation, in which multiple samples are extracted from the production of a 400 kA aluminum electrolysis cell. We observe that when the time advance of AE-prediction is within 20 ∼ 40 min, the accuracy rate of the CTFM algorithm is greater than 95% and the applicability of the method is excellent, showing a high prediction accuracy for different aluminum electrolysis cells.

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Alumina Dissolution Modeling in Aluminium Electrolysis Cell Considering Mhd Driven Convection and Thermal Impact

Cited by 4 publications

References 3 publications

CFD Modelling of Alumina Feeding

CFD Modelling of Alumina Feeding

Mathematical model of magnetic hydrodynamics and heat transfer in aluminium reduction cell

Anode effect prediction based on collaborative two-dimensional forecast model in aluminum electrolysis production

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