Bubble−particle interactions with hydrodynamics, XDLVO theory, and surface roughness for flotation in an agitated tank using CFD simulations

Gomez-Flores, Allan; Solongo, Stephen Kayombo; Heyes, Graeme W.

doi:10.1016/j.mineng.2020.106368

Cited by 33 publications

(11 citation statements)

References 28 publications

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“…In CFD simulation, the introduction of these factors is more in line with practice. Gomez‐Flores et al 146 first used the CFD simulation and the XDLVO theory with particle surface roughness (SR) to study the flotation process. For the approach without XDLVO, the attachment probability was found to decrease with the increasing particle−bubble velocities, but it was in an opposite case for the approach with XDLVO.…”

Section: Computational Fluid Dynamics Numerical Simulation Of Flotation Processmentioning

confidence: 99%

“…Further, the increasing SR could greatly increase the attachment probability. It is worth noting that Gomez‐Flores et al 146 emphasized that the modeling without XDLVO was centered on hydrodynamic and that with XDLVO was centered on physicochemical. Further experiments were required to verify the reliability of the two.…”

Section: Computational Fluid Dynamics Numerical Simulation Of Flotation Processmentioning

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: Computational Fluid Dynamics Numerical Simulation Of Flotation Processmentioning

confidence: 99%

Section: Computational Fluid Dynamics Numerical Simulation Of Flotation Processmentioning

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 collection probability of bubbles and minerals in flotation can be calculated as Equation 11 :

bold-italicP italic bold-italic= italic P_{c} italic· P_{a} italic· ({1−P}_{d})

The collision probability P c in different flow regimes can be summarized as Equation 11 :

P_{c} bold= bold-italicA {(\frac{{bold-italicd}_{bold-italicp}}{{bold-italicd}_{bold-italicb}})}^{n},

The adhesion probability P a can be written as Equation 12 :

P_{a} = \sin^{2} ({], bold2 boldarctan boldexp false[\frac{- ((), bold45 + bold8 {Re}_{b}^{0.72}) u_{b} t_{i}}{bold15 d_{b} ((), \frac{{bold-italicd}_{bold-italicb}}{{bold-italicd}_{bold-italicp}} + bold1)}),

where d p and d b are the diameters of particles and bubbles, respectively; t i is the induction time, and u b is the bubble velocity. The detachment probability P d is rather small for fine particles 13 …”

Section: Introductionmentioning

confidence: 99%

Comparison of bubble velocity, size, and holdup distribution between single‐ and double‐air inlet in jet microbubble generator

Liu

et al. 2020

Asia-Pacific J Chem Eng

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The jet microbubble generator is often used to produce bubbles in flotation equipment, which generates microbubbles by self‐absorbing or inflating. Bubble behavior is a dominant factor in froth flotation, and its velocity, size, and distribution greatly affect flotation performance. However, the asymmetry distribution of the pressure, bubble velocity, and gas holdup in generator with single inlet probably causes eccentric wear to the equipment. Therefore, in this study, using particle image velocimetry (PIV), high‐speed dynamic camera, and computational fluid dynamics (CFD) technology, the bubble behaviors in the jet microbubble generators with single inlet and double inlet was studied. The results show that under air flux of 0.4 L/min, the change of bubble diameter (D32) in two generators is obvious, reducing by 5.97% and 3.77% under circulation water flux of 1.5 and 2.5 m3/h, respectively. Comparing the influence of circulating water fluxes, the double‐inlet structure can reduce the bubble diameter more effectively. The maximum turbulent dissipation rate in the throat section of the generator with double inlet is greater than 120, while it is less than 100 in single‐inlet structure. For bubbles in generator with double inlet, velocity difference in radial direction reduces to 0.03 m/s and is more symmetrical. Meanwhile, the double‐inlet generator can also optimize the uniformity gas holdup distribution, which is beneficial to increase the collision probability of flotation and reduce the abrasion of microbubble generator.

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“…One of the most common uses of microbubbles in industry is water-waste treatment and disinfection [1][2][3] which is done via microbubble aeration. When microbubbles are introduced into the water pollutants, the small particles as well as bacteria attach themselves to the bubbles, which are then brought to the surface as the bubble rises to the surface of the water.…”

Section: Introductionmentioning

confidence: 99%

Geometrical Optimization of a Venturi-Type Microbubble Generator Using CFD Simulation and Experimental Measurements

Wilson

Pun

Ganesan

et al. 2021

Designs

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Microbubble generators are of considerable importance to a range of scientific fields from use in aquaculture and engineering to medical applications. This is due to the fact the amount of sea life in the water is proportional to the amount of oxygen in it. In this paper, experimental measurements and computational Fluid Dynamics (CFD) simulation are performed for three water flow rates and three with three different air flow rates. The experimental data presented in the paper are used to validate the CFD model. Then, the CFD model is used to study the effect of diverging angle and throat length/throat diameter ratio on the size of the microbubble produced by the Venturi-type microbubble generator. The experimental results showed that increasing water flow rate and reducing the air flow rate produces smaller microbubbles. The prediction from the CFD results indicated that throat length/throat diameter ratio and diffuser divergent angle have a small effect on bubble diameter distribution and average bubble diameter for the range of the throat water velocities used in this study.

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Bubble−particle interactions with hydrodynamics, XDLVO theory, and surface roughness for flotation in an agitated tank using CFD simulations

Cited by 33 publications

References 28 publications

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

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

Comparison of bubble velocity, size, and holdup distribution between single‐ and double‐air inlet in jet microbubble generator

Geometrical Optimization of a Venturi-Type Microbubble Generator Using CFD Simulation and Experimental Measurements

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