Conference Proceedings
MetPlant 2008
Conference Proceedings
MetPlant 2008
Computational Fluid Dynamics Modelling of Slimes Flotation at Mt Keith Operations
This paper describes modelling studies of the flotation cells used by BHP Billiton Nickel West Ltd in the slimes circuit at Mt Keith. The aim is to achieve a better understanding of the hydrodynamic limitations in the existing cells to improve nickel recovery. Computational fluid dynamics (CFD) simulations have been performed on the 100 m3 mechanically-stirred cells. The data produced by the simulations include velocity vectors, gas holdup distribution, solids distribution, bubble size, superficial gas velocity and turbulent parameters._x000D_
These results have been checked and found to match hydrodynamic measurements at the plant._x000D_
An analysis of the data found that one of the limitations in fine particle recovery was related to the air bubbles discharged with the tailing. The air in the discharge was caused by the high viscosity of the pulp. In the presence of fine particles, the pulp exhibits high viscosity with a yield stress. The increased drag due to high viscosity caused the bubbles to rise more slowly up the cell. This results in a significant hold-up of bubbles, some of which report to the tailing with associated loss of valuable minerals. A parametric CFD study of the operating variables shows that less air would be discharged in the tailing by decreasing the following: air flow rate, pulp density, stirring speed, and frother addition._x000D_
Simulation results indicate that these changes would cause a lowering of the air hold up in the cell especially near the discharge area. Predictions of the bubble-particle attachment rates under various operating conditions have also been calculated. Although it is possible to increase attachment rates by increasing stirring speed or by increasing pulp density, the amount of air discharged and the amount of nickel loss through the tailing will also increase._x000D_
The project showed that CFD modelling is a powerful tool for studying hydrodynamic effects of bubble-particle interactions in flotation cells._x000D_
FORMAL CITATION:Koh, P T L and Schwarz, M P, 2008. Computational fluid dynamics modelling of slimes flotation at Mt Keith Operations, in Proceedings MetPlant 2008, pp 325-338 (The Australasian Institute of Mining and Metallurgy: Melbourne).
These results have been checked and found to match hydrodynamic measurements at the plant._x000D_
An analysis of the data found that one of the limitations in fine particle recovery was related to the air bubbles discharged with the tailing. The air in the discharge was caused by the high viscosity of the pulp. In the presence of fine particles, the pulp exhibits high viscosity with a yield stress. The increased drag due to high viscosity caused the bubbles to rise more slowly up the cell. This results in a significant hold-up of bubbles, some of which report to the tailing with associated loss of valuable minerals. A parametric CFD study of the operating variables shows that less air would be discharged in the tailing by decreasing the following: air flow rate, pulp density, stirring speed, and frother addition._x000D_
Simulation results indicate that these changes would cause a lowering of the air hold up in the cell especially near the discharge area. Predictions of the bubble-particle attachment rates under various operating conditions have also been calculated. Although it is possible to increase attachment rates by increasing stirring speed or by increasing pulp density, the amount of air discharged and the amount of nickel loss through the tailing will also increase._x000D_
The project showed that CFD modelling is a powerful tool for studying hydrodynamic effects of bubble-particle interactions in flotation cells._x000D_
FORMAL CITATION:Koh, P T L and Schwarz, M P, 2008. Computational fluid dynamics modelling of slimes flotation at Mt Keith Operations, in Proceedings MetPlant 2008, pp 325-338 (The Australasian Institute of Mining and Metallurgy: Melbourne).
Contributor(s):
P T L Koh, M P Schwarz
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- Published: 2008
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