A review of CFD modelling studies on the flotation process

Wang, Guichao; Wang, Chuanzhen; Mitra, Subhasish; Evans, Geoffrey M.; Joshi, J. B.; Chen, Songying

doi:10.1016/j.mineng.2018.08.019

Cited by 84 publications

(28 citation statements)

References 151 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Existing CFD simulation studies on the flotation process are numerous, and many models have been discussed (Wang et al, 2018). Because the motion of the particles is mainly dominated by fluid flow, a single-phase flow field was used to predict the motion of the particles.…”

Section: Cfd Modelmentioning

confidence: 99%

Experimental and numerical study on the classification of a cyclonic field in a flotation column

Li¹,

Xiao²,

Yan³

et al. 2020

Physicochem. Probl. Miner. Process.

View full text Add to dashboard Cite

The cyclonic-static micro-bubble flotation column (FCSMC) performs well in fine mineral flotation. Compared to traditional flotation columns, its design innovatively introduces a cyclonic structure. The separation of middling and tailing occurs in the cyclonic flow field induced by a cyclonic reversal cone. In this study, the particle size distribution analysis and computational fluid dynamics (CFD) simulations were conducted to reveal the particle distribution law and the classification mechanism in cyclonic flow fields under different circulation pressures. The results showed that particle size showed the same distribution tendency as tangential velocity in the radial direction: both increase from the center and decrease around the wall. As circulation flux increased, the tangential velocity increased, and the particle size differences in the radial direction also increased. The position of the largest particles will move to outside as the largest value of tangential velocity migrates the outward in the radial direction. According to the particle size distribution of the feed, it can be adjusted to the flow field to change the particle distribution, thereby improving the efficiency of separation. This study has an important guiding significance for column design and adjustment of the operating parameters of the flotation process.

show abstract

Section: Cfd Modelmentioning

confidence: 99%

Experimental and numerical study on the classification of a cyclonic field in a flotation column

Li¹,

Xiao²,

Yan³

et al. 2020

Physicochem. Probl. Miner. Process.

View full text Add to dashboard Cite

show abstract

“…The simulation results indicate that TFSB can maintain a steady state during pipeline transport, experience a markedly reduced pipeline transport resistance, and exhibit better liquidity than conventional cement slurry. Last but not least, the flotation process is one of the most studied systems using CFD, and a comprehensive review of the published literature regarding the CFD modeling of the flotation process was presented [37]. The advances made in the modeling and simulations of the equipment were critically analyzed, and specific emphasis was given to the bubble-particle interactions and the effect of turbulence on these interactions.…”

Section: Computational Fluid Dynamics (Cfd) In Multiphase Systemsmentioning

confidence: 99%

Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

2019

View full text Add to dashboard Cite

Multiphase systems are important in minerals processing, and usually include solid–solid and solid–fluid systems, such as in wet grinding, flotation, dewatering, and magnetic separation, among several other unit operations. In this paper, the current trends in the process system engineering tasks of modeling, design, and optimization in multiphase systems, are analyzed. Different scales of size and time are included, and therefore, the analysis includes modeling at the molecular level (molecular dynamic modeling) and unit operation level (e.g., computational fluid dynamic, CFD), and the application of optimization for the design of a plant. New strategies for the modeling, design, and optimization of multiphase systems are also included, with a strong focus on the application of artificial intelligence (AI) and the combination of experimentation and modeling with response surface methodology (RSM). The integration of different modeling techniques such as CFD with discrete element simulation (DEM) and response surface methodology (RSM) with artificial neural networks (ANN) is included. The paper finishes with tools to study the uncertainty, both epistemic and stochastic, based on uncertainty and global sensitivity analyses, which is present in all mineral processing operations. It is shown that all of these areas are very active and can help in the understanding, operation, design, and optimization of mineral processing that involves multiphase systems. Future needs, such as meso-scale modeling, are highlighted.

show abstract

“…Traditional froth flotation cannot separate mineral particles finer than approximately 10 μm efficiently and selectively because fine particles tend to reduce the probability of collision between particles and bubbles. Therefore, it is of great value to study the collision efficiency between fine particles and bubbles . The contact efficiency of solid particles with air bubbles is related to different physicochemical properties of minerals.…”

Section: Introductionmentioning

confidence: 99%

Effects of bubble size, velocity, and particle agglomeration on the electro‐flotation kinetics of fine cassiterite

Ren

Zeng

Nguyen

et al. 2019

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

Hydrodynamic behavior of fine particles and bubbles and their influences on the particle-bubble collision efficiency (E c ) in an electro-flotation system were analyzed in this study. The influence of sodium oleate on the agglomeration of cassiterite particles and the effect of electrolyte (Na 2 SO 4 ) concentration on the zeta potential of cassiterite were investigated in detail, respectively. Bubble trajectory was recorded by using a high-speed camera to investigate the dynamic process in terms of bubble velocity. Moreover, bubble size was taken into account in the determination of the relationship between bubble velocity and E c . The Reynolds number (Re b ) was calculated to be 4.77 for hydrogen (H 2 ) bubbles with a mean diameter of 52 μm. The highest recovery of cassiterite particles (<10 μm) was obtained by using 20 μm bubbles during flotation. The results indicate that the Yoon-Luttrell intermediate fluid (between the Stokes and potential flows) condition is applicable for the cassiterite electro-flotation system, and E c is improved by controlling the size and velocity of the hydrogen bubble, and the agglomeration of fine cassiterite particles in electro-flotation.Additionally, it was greatly inspired to explore bubble-particle attachment in dissolved air flotation from these results.

show abstract

A review of CFD modelling studies on the flotation process

Cited by 84 publications

References 151 publications

Experimental and numerical study on the classification of a cyclonic field in a flotation column

Experimental and numerical study on the classification of a cyclonic field in a flotation column

Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

Effects of bubble size, velocity, and particle agglomeration on the electro‐flotation kinetics of fine cassiterite

Contact Info

Product

Resources

About