Numerical analysis of flow in a highly efficient flotation column

Gong, Maoming; Li, Chunshan; Li, Zengxi

doi:10.1002/apj.1849

Cited by 9 publications

(8 citation statements)

References 17 publications

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“…The realizable k–ε model contains a variable turbulent alternative formula and modifies the transport equation using the turbulent dissipation rate, which is derived from the exact equation for the transport of the mean‐square vorticity fluctuation, hence increasing the calculation accuracy. Gong et al 55 studied the hydrodynamic characteristics of a FCSMC employing the standard, RNG and realizable k–ε models, as shown in Figure 1. The introduction of a turbulence model was found to change the hydrodynamic in the revolving flotation sections and column, and such three k–ε models had numerous differences.…”

Section: Theories Of Computational Fluid Dynamics Numerical Simulation In Studying Flotationmentioning

confidence: 99%

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Recent advances in computational fluid dynamics simulation of flotation: a review

Wang

Yan

et al. 2021

Asia-Pacific J Chem Eng

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Flotation process is a multi‐phase and multi‐scale complex flow system, in which hydrodynamics plays an indispensable role. In recent years, computational fluid dynamics (CFD) numerical simulation has gradually become a powerful tool for studying flotation. In this review, the theories of CFD numerical simulation in flotation research were reviewed, involving various turbulence models and multi‐phase flow simulation approaches. An attempt has been made to analyze and discuss the characteristics and applicability of different turbulence models and multi‐phase flow simulation approaches in flotation researches in detail. The CFD simulation of two commonly used flotation devices, that is, mechanically agitated flotation machine and flotation column, has been reviewed in detail. The detailed principles, operation, and hydrodynamic of flotation devices were discussed from the viewpoint of CFD. The advances made in CFD simulation for studying flotation process, including particle suspension, bubble dispersion, particle–bubble collision, attachment, and detachment subprocesses have been critically analyzed. Focused analysis was given on the influence mechanism of turbulence on the particle–bubble interactions. Finally, the gaps in the available literature are discussed and potential research directions are also proposed.

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Section: Theories Of Computational Fluid Dynamics Numerical Simulation In Studying Flotationmentioning

confidence: 99%

“…The turbulent intensity contours of different turbulence models (face y = 0) reported by Gong et al 55 …”

Section: Theories Of Computational Fluid Dynamics Numerical Simulation In Studying Flotationmentioning

confidence: 99%

Recent advances in computational fluid dynamics simulation of flotation: a review

Wang

Yan

et al. 2021

Asia-Pacific J Chem Eng

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“…The MRF model performs steady‐state calculations with a rotating reference frame in the impeller region and a stationary reference frame in the outer region. In this way, the effects of the blade rotation can be explained with the help of the frame of reference, allowing for explicit modelling of the impeller geometry . A number of studies on the impeller configuration have been reported, especially the Ruston turbine which has the lowest power number.…”

Section: Vof Modelmentioning

confidence: 99%

“…In this way, the effects of the blade rotation can be explained with the help of the frame of reference, allowing for explicit modelling of the impeller geometry. [36,38] A number of studies on the impeller configuration have been reported, especially the Ruston turbine which has the lowest power number. The impeller type, configuration, size, and placement position have obvious effects on the power number or other flow field physical quantities.…”

Section: Rotation Modelmentioning

confidence: 99%

Optimization of mixing parameters for a cold model system by CFD for aluminum matrix composites synthesis process

Sun

Liu

et al. 2016

Can J Chem Eng

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Stir casting process is the most important method in the aluminum matrix composites synthesis industry. In the stir casting process, the stability of the liquid aluminum surface and the highest shear force induced by the impellers are the two main factors for high quality of aluminum matrix composites synthesis. In this paper, a three‐dimensional CFD model validated on a water and air two‐phase flow system in a cold model was used to optimize the mixing string tank for aluminum matrix composites synthesis, coupling the volume of fluid (VOF) model, the k‐ϵ turbulence model, and the multiple reference frames (MRF) model. Important mixing parameters of the gas‐liquid two‐phase stirred tank such as rotation speed, type of baffles, and angle of rotating impellers were simulated and analyzed in detail. Varieties of speed were investigated to choose the best one. The best stirrer was chosen through analyzing the stability of liquid aluminum and shear force induced by impellers. The results showed that the optimal stirring speed was 180 rpm during studying the surface between liquid and gas. The best baffles with the lowest vortex were obtained through simulation, with dimensions of 50 mm × 20 mm × 350 mm. In order to get the lowest vortex between water and air and the strongest shear force, the blades should be installed at 15° with vertical direction.

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“…The height of the flotation column determines the retention time of the slurry, which directly affects the efficiency of the mineralization. Unlike the ordinary flotation column, the FCSMC has integrated a more efficient mineralization method, such as cyclonic separation and pipe flow mineralization, in view of the gradual deterioration of floatability during the flotation of minerals, and that makes it possible to reduce the column height . Therefore, the hydrodynamic behavior is particularly important for the separation of the FCSMC.…”

Section: Introductionmentioning

confidence: 99%

Effect of height of flotation column on flow field

Yan

Wang

et al. 2019

Asia-Pacific J Chem Eng

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Cyclonic‐static microbubble flotation column (FCSMC) is a sorting equipment for micro fine‐grained minerals. The column height is an important factor affecting the flotation efficiency, which will directly affect the flow field and separation performance. In this study, particle image velocimetry measurement on single phase of lab‐scale FCSMC with diameter D of 0.1 m was tested to verify the accuracy of the turbulent model used in computational fluid dynamics simulation. Then the FCSMC with different upper column and lower column height were simulated and analyzed. Results show that the axial velocity and tangential velocity play a major role in FCSMC. With the increasing of the upper column height, both tangential velocity and centrifugal intensity decrease, which help to get a static environment for column flotation unit. But too high upper column height will affect the separation of the cyclone flotation unit due to small centrifugal intensity. When the lower column height‐to‐diameter ratio H2/D increases from 1 to 4, it has no obvious effect on column flotation unit, but does effect on the flow field of the cyclone flotation unit. As the lower column height increases, the upward overflow is more prominent and the region becomes larger. Peculiarly, tangential velocity is large under too small lower column height, like H2/D = 1, but is bad for the separation of large size tailings due to low distance and great suction. Within the scope of this study, the lower column height range is more suitable for H2/D = 2–3.

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Numerical analysis of flow in a highly efficient flotation column

Cited by 9 publications

References 17 publications

Recent advances in computational fluid dynamics simulation of flotation: a review

Recent advances in computational fluid dynamics simulation of flotation: a review

Optimization of mixing parameters for a cold model system by CFD for aluminum matrix composites synthesis process

Effect of height of flotation column on flow field

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