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Dynamic Modelling of Alumina Feeding in an Aluminium Electrolysis Cell

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Light Metals 2019

Part of the book series: The Minerals, Metals & Materials Series ((MMMS))


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-into the specialised MHD software for commercial cell modelling and optimisation.

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  1. Haverkamp RG, Welch BJ (1998) Modelling the dissolution of alumina powder in cryolite. Chem. Eng. Processing 37:177–187

    Google Scholar 

  2. Solheim A (2014) A novel design criterion for alumina feeders in aluminium electrolysis cells. In Grandfield, J (ed) Light Metals 2014. TMS, p 711–716

    Google Scholar 

  3. von Kaenel R, Antille J, Romerio MV, Besson O (2013) Impact of magnetohydrodynamic and bubble driving forces on the alumina concentration in the bath of Hall-Héroult cell. In Sadler, B (ed) Light Metals 2013. TMS, p 585–590

    Google Scholar 

  4. Zhang H, Yang S, Zhang H, Li J, Xu Y (2014) Numerical simulation of alumina mixing process with a multicomponent flow model coupled with electromagnetic forces in aluminum reduction cells. JOM 66(7):1210–1217

    Google Scholar 

  5. Bardet B, Foetisch T, Renaudier S, Rappaz J, Flueck M, Picasso M (2016) Alumina dissolution modelling in aluminium electrolysis cell considering MHD driven convection and thermal impact. In Williams, E (ed) Light Metals 2016. TMS, p 315–319

    Google Scholar 

  6. Einarsrud KE, Gylver SE, Manger E (2018) CFD modelling of alumina feeding. In Martin, O (ed) Light Metals 2018. TMS, p 557–564

    Google Scholar 

  7. Bojarevics V, Radionov E, Tretiyakov Y (2018) Anode bottom burnout shape and velocity field investigation in a high amperage electrolysis cell. In Martin, O (ed) Light Metals 2018. TMS, p. 551–556

    Google Scholar 

  8. Bojarevics V, Pericleous K (2009) Solutions for the Metal-Bath Interface in Aluminium Electrolysis Cells. In Light Metals 2009. TMS, p. 569–574

    Google Scholar 

  9. Bojarevics V, Sira S (2014) MHD Stability for Irregular and Disturbed Aluminium Reduction Cells, In Grandfield, J (ed) Light Metals 2014. TMS, p 685–690

    Google Scholar 

  10. Wilcox DC (1998). Turbulence Modelling for CFD, 2nd ed., DCW Industries, California.

    Google Scholar 

  11. Rastogi AK, Rodi W (1978) Prediction of heat and mass transfer in open channels. J. Hydraulics Division ASCE, HY3: 397–420

    Google Scholar 

  12. Tucker PG (2001) Computation of particle and scalar transport for complex geometry turbulent flows. Journ. Fluids Eng. 123:372–381

    Google Scholar 

  13. Clift R, Grace JR, Weber ME (2005) Bubbles, Drops, and Particles. Dover Publications, New York

    Google Scholar 

  14. Bojarevics V, Freibergs J, Shilova E, Shcherbinin E (1989) Electrically Induced Vortical Flows. Kluwer Academic Publishers, Dordrecht, Boston, London

    Google Scholar 

  15. Leenov D, Kolin A (1954) Theory of electromagnetophoresis. Journ. Chem. Phys. 22(4):683–688

    Google Scholar 

  16. Landau LD, Lifshitz EM (1987) Fluid Mechanics, Pergamon Press

    Google Scholar 

  17. Bojarevics V, Pericleous K, Brooks R (2009) Dynamic Model for Metal Cleanness Evaluation by Melting in Cold Crucible. Metall. Materials Trans. 40B:328–336

    Google Scholar 

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Correspondence to V. Bojarevics .

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© 2019 The Minerals, Metals & Materials Society

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Bojarevics, V. (2019). Dynamic Modelling of Alumina Feeding in an Aluminium Electrolysis Cell. In: Chesonis, C. (eds) Light Metals 2019. The Minerals, Metals & Materials Series. Springer, Cham.

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