Prediction of gas holdup in a column flotation cell using computational fluid dynamics (CFD)

Mwandawande, I.; Akdogan, G.; Bradshaw, S.M.; Karimi, Mohsen; Snyders, N.

doi:10.17159/2411-9717/2019/v119n1a10

Cited by 10 publications

(5 citation statements)

References 28 publications

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“…There are traction forces between air and water, and the Schiller-Naumann traction model can better describe air-liquid traction, which is F drag,a-w as follows [43][44][45]:…”

Section: Control Equations For the Three-phase Flow Of Air-water-flak...mentioning

confidence: 99%

Numerical Simulation of Air–Water–Flake Graphite Triple-Phase Flow Field in a Homemade Double-Nozzle Jet Micro-Bubble Generator

Dong,

Guo,

Peng

et al. 2024

Minerals

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The essential part of the flake graphite flotation apparatus is a micro-bubble generator. Developing a micro-bubble generator with a reasonable structure and superior self-absorption performance is crucial to improving flake graphite sorting. In this study, to realize the integrated treatment of the grinding and mineralization of flake graphite, the development and manufacturing of a double-nozzle jet micro-bubble generator were based on the concepts of shear-type cavitation water jets and jet pumps, among other theories. A numerical simulation of the air–water–flake graphite triple-phase flow field of the generator was conducted using the CFD method. The goal was to investigate the grinding and mineralization process of flake graphite by analyzing the distribution of the air phase’s volume percentage and the speed distribution of the air–water–flake graphite triple-phase flow field. The findings indicate that the air-phase volume percentage produced by the generator ranges from 98.3% to 99.9%, and the air-phase volume percentage is evenly distributed within the steady flow tube, achieving the mineralization function. Additionally, the flake graphite particles are dissociated from the flake graphite under the combined effect of friction shear and cavitation of the internal nozzles, thereby achieving the grinding function.

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“…There are traction forces between air and water, and the Schiller-Naumann traction model can better describe air-liquid traction, which is F drag,a-w as follows [43][44][45]:…”

Section: Control Equations For the Three-phase Flow Of Air-water-flak...mentioning

confidence: 99%

Numerical Simulation of Air–Water–Flake Graphite Triple-Phase Flow Field in a Homemade Double-Nozzle Jet Micro-Bubble Generator

Dong,

Guo,

Peng

et al. 2024

Minerals

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“…In the Euler model, multiple independent phases are modeled, and the coupling between phases is described by the pressure and exchange coefficient between phases. Compared with the E–L approach, the E–E approach has attracted more attention and application in studying flotation, and a large number of scholars have employed the E–E approach to simulate the flotation flow 16,20,68–71 . This depends on the advantages of the E–E approach that can simulate the flow of bubbles with variable sizes.…”

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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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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“…More recently, Mwandawande et al (2019) investigated the application of CFD for predicting not only the average gas holdup, but also the axial gas holdup variation in flotation columns. They applied a Eulerian-Eulerian multiphase model and the realizable k-e turbulence formulation to simulate a cylindrical pilot column that was used in the work of Gomez et al (1991) and Gomez et al (1995) on axial gas holdup distribution.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the mixing characteristics of industrial flotation columns using computational fluid dynamics

Mwandawande

Bradshaw

Karimi

et al. 2022

J. S. Afr. Inst. Min. Metall.

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The mixing characteristics of industrial flotation columns were investigated using computational fluid dynamics (CFD). Particular emphasis was placed on the clarification of the relationship between the liquid and solids mixing parameters such as the mean residence time and axial dispersion coefficients. The effects of particle size and bubble size on liquid dispersion in the column were also studied. An Eulerian-Eulerian method was applied to simulate the multiphase flow, while additional scalar transport equations were introduced to predict the liquid residence time distribution (RTD) and particle age distribution inside the column. The results obtained show that particle residence time decreases with increasing particle size. The residence time of the coarser particles (112.5 pm) was found to be at least 60% of the liquid residence time, while the finer particles (19 pm) had a residence time similar to the liquid. The results also show that an increase in the particle size of the solids results in a decrease in the liquid vessel dispersion number, while a decrease in the bubble size increases liquid axial mixing. Finally, the simulated axial velocity profiles confirm the similarity between the liquid and solids axial dispersion coefficients in column flotation.

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Prediction of gas holdup in a column flotation cell using computational fluid dynamics (CFD)

Cited by 10 publications

References 28 publications

Numerical Simulation of Air–Water–Flake Graphite Triple-Phase Flow Field in a Homemade Double-Nozzle Jet Micro-Bubble Generator

Numerical Simulation of Air–Water–Flake Graphite Triple-Phase Flow Field in a Homemade Double-Nozzle Jet Micro-Bubble Generator

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

Investigation of the mixing characteristics of industrial flotation columns using computational fluid dynamics

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