Effects of particle size and concentration on bubble coalescence and froth formation in a slurry bubble column

Sarhan, A.R.; Naser, Jamal; Brooks, Geoffrey

doi:10.1016/j.partic.2017.04.011

Cited by 60 publications

(37 citation statements)

References 43 publications

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“…B) A solid‐effect multiplier is introduced. The multiplier β accounts for the promotion of coalescence due to the presence of small solid particles and is considered in the expression for the coalescence efficiency , :

true λ_{normalc}^{normalse} = \exp (- \frac{β t_{ij}}{τ_{ij}})

…”

Section: Three‐phase Systemsmentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

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This work reviews the state‐of‐the‐art models for the simulation of bubble columns and focuses on methods coupled with computational fluid dynamics (CFD) where the potential and deficits of the models are evaluated. Particular attention is paid to different approaches in multiphase fluid dynamics including the population balance to determine bubble size distributions and the modeling of turbulence where the authors refer to numerous published examples. Additional models for reactive systems are presented as well as a special chapter regarding the extension of the models for the simulation of bubble columns with a present solid particle phase, i.e., slurry bubble columns.

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true λ_{normalc}^{normalse} = \exp (- \frac{β t_{ij}}{τ_{ij}})

…”

Section: Three‐phase Systemsmentioning

confidence: 99%

Models for the Numerical Simulation of Bubble Columns: A Review

Mühlbauer

Hlawitschka

Bart

2019

Chemie Ingenieur Technik

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“…Sarhan et al. predicted an increasing bubble coalescence efficiency with higher particle concentration and a decreasing one with rising superficial gas velocity. It was supposed that the addition of particles may reduce the drag force between gas and liquid phase, as stated in Zhou et al.…”

Section: Introductionmentioning

confidence: 99%

“…Other researches , have been done on the different interphase momentum exchanges between slurry bed and gas‐liquid bubbling bed. However, only few papers , considered the influence of particles on hydrodynamics in slurry beds. Ojima et al.…”

Section: Introductionmentioning

confidence: 99%

“…Other researches [16,17] have been done on the different interphase momentum exchanges between slurry bed and gasliquid bubbling bed. However, only few papers [14,[18][19][20] considered the influence of particles on hydrodynamics in slurry beds. Ojima et al [14] modified the coalescence efficiency by introducing a correction factor based on experimental data and compared with the models without modification at low superficial gas velocity (U g 0.034 m s -1 ).…”

Section: Introductionmentioning

confidence: 99%

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Population Balance Model Simulation of the Particle Effect on Flow Hydrodynamics in Slurry Beds

Shi

et al. 2019

Chem Eng & Technol

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Computational fluid dynamics (CFD) simulation can provide in‐depth knowledge on hydrodynamics in slurry‐bed reactors. The accuracy of CFD simulation is highly depending on the description of the interactions between gas phase and slurry phase with the drag model. Conventional drag models were usually developed for gas‐liquid systems without considering the presence of particles in slurry‐bed reactors. A modified drag model is proposed by taking into account the effect of particles. Simulation results proved the accuracy of the model in predicting hydrodynamics in the slurry bed. A higher particle concentration can increase the gas velocity and decrease the gas holdup due to the lower drag force between gas phase and slurry phase. The bubble size is predicted to be larger at higher particle concentrations due to the increased liquid eddy length scale. Considering the particle effect is critical for accurately simulating slurry‐bed reactors.

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“…[3][4][5][6][7] Sarhan et al 8 published a number of recent papers on computational fluid dynamics (CFD) modelling of population balance equation in various applications such as flotation cells and flotation columns. [9][10][11] The authors also studied the effect of particle attachment and detachment 12 and the effect of particle size and concentration on bubble coalescence. 11 The population balance technique is also used for fluidized bed 13 and subcooled boiling.…”

Section: Introductionmentioning

confidence: 99%

Bubble population balance modelling for stationary and rotating columns under zero-gravity environment: Numerical study

Alhendal

Turan

Kalendar

et al. 2019

Advances in Mechanical Engineering

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Two axisymmetric dimensional Eulerian/Eulerian simulation of two-phase (gas/liquid) transient flow was performed for both stationary and rotating columns under zero gravity. Multiphase flow simulation is modelled using flow algorithm based on the finite-volume method to simulate bubble population balance modelling. Two coalescence kernels, one for laminar flow and the other for laminar shear flow, are experimented under zero gravity using special user defined functions. Effects of rotation speed are investigated at angular velocities of 0, 0.25, 0.5, 0.75 and 1 rad/s, and effects of air inlet velocity are conducted at 1, 2, 3 and 4 cm/s. The numerical results show that the centrifugal force is pulling the bubbles towards the axis of rotation and shifts them away from the wall. Also, rotation could accelerate the moving bubbles throughout the column under zero-gravity conditions. Increasing the inlet air velocity accelerates the coalescence rate with a decrease in the inlet bubble diameter. Under zero gravity, the bubbles are formed with limited size distribution and may not be represented by an equivalent phase with Sauter mean diameter. Coalescence and break-up phenomena must be considered under normal gravity and coalescence phenomenon only under zero gravity.

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Effects of particle size and concentration on bubble coalescence and froth formation in a slurry bubble column

Cited by 60 publications

References 43 publications

Models for the Numerical Simulation of Bubble Columns: A Review

Models for the Numerical Simulation of Bubble Columns: A Review

Population Balance Model Simulation of the Particle Effect on Flow Hydrodynamics in Slurry Beds

Bubble population balance modelling for stationary and rotating columns under zero-gravity environment: Numerical study

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