Numerical Simulation of Gas-Liquid-Solid Three Phase in Bubble Column

Wang, Le; Cao, Zhourong; Cai, Hulin; Wang, Yifei

doi:10.1088/1742-6596/1739/1/012041

Cited by 3 publications

(6 citation statements)

References 13 publications

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“…93 The PBM model was also applied to obtain the gas−liquid− solid flow in a circulating fluidized bed 192 and laboratory bubble column. 193 The simulating results based on the PBM model agree well with the experimental data.…”

Section: Multiphase Modelsupporting

confidence: 65%

“…The bubble group resistance model coupled with PBM was successfully applied to obtain the changes of bubble size distribution, gas holdup, and bubble group rising speed with liquid viscosity and surface tension . The PBM model was also applied to obtain the gas–liquid–solid flow in a circulating fluidized bed and laboratory bubble column . The simulating results based on the PBM model agree well with the experimental data.…”

Section: Two/three Phase Flowmentioning

confidence: 99%

“…The interactions of particle–wall and particle–particle are considered. This method is only applicable for dilute systems. ,− ,− ,, When bubbles and particles are involved in a system, they can be treated as discrete phases. The E-E-L approach can be applied with liquid treated as a continuous phase. , In particular, VOF-DPM approach can be used to model gas and solid, separately, with liquid treated as a Eulerian phase.…”

Section: Two/three Phase Flowmentioning

confidence: 99%

“…To model the turbulent gas–liquid–solid flow in a stirred bioreactor, the standard k –ε model was utilized by ignoring the turbulence in the dispersed phases of gas and solid . The k –ε model was also applied to close the N-S equations in the calculation of gas–liquid–solid flow in a bubble column …”

Section: Two/three Phase Flowmentioning

confidence: 99%

“…This method is only applicable for dilute systems. 187,[229][230][231][50][51][52][53]193,232 When bubbles and particles are involved in a system, they can be treated as discrete phases. The E-E-L approach can be applied with liquid treated as a continuous phase.…”

Section: Multiphase Models For Amentioning

confidence: 99%

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Computational Fluid Dynamics Based Modeling of Gas Absorption Process: A State-of-the-Art Review

Liu,

Wang,

Cai

et al. 2024

Ind. Eng. Chem. Res.

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The effective removal of gas phase species relies on effective gas liquid hydrodynamic contact coupling with fast chemical reaction rates. To promote mass transfer rate and the development of reagents, computational fluid dynamic modeling has long been recognized as an effective methodology for the quantification of physical and chemical parameters. The simulation of the gas liquid process involves the coupling of models including multiphase flow, turbulence, interfacial forces, mass transfer, and chemical reactions. The selection of suitable models according to practical applications has been challenging. In terms of multiphase flow, volume of fraction, Euler−Euler, and Euler−Lagrange approaches are discussed. With regard to turbulence, direct numerical simulation, large eddy simulation, and Reynolds averaged Navier−Stokes approach are compared. With respect to interfacial forces, the dominance of drag, lift, virtual mass, wall lubrication, and turbulent dispersion forces for different situations are obtained. In terms of mass transfer, the development and applications of film model, dimensionless analysis, penetration model, and surface renewal model are discussed. Different methodologies to enhance mass transfer include improvement of equipment structure, addition of nanofluid, and exposure to an energy field are summarized. To accelerate the computational process, four methods including the space−time conservation element and solution element model, compartmental model, reduction in dimension, and multiscale approach are discussed. This paper intends to provide a thorough review on the applications of different models to different situations and, in particular, to reveal the restrictions of different models. Overall, this study lays the foundation for future studies on the optimization of scrubbers for large scale practical applications. It also allows a deeper understanding of the interactions of fluid dynamics, mass transfer, and chemical reactions.

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Section: Multiphase Modelsupporting

confidence: 65%

Section: Two/three Phase Flowmentioning

confidence: 99%

Section: Two/three Phase Flowmentioning

confidence: 99%

Section: Two/three Phase Flowmentioning

confidence: 99%

Section: Multiphase Models For Amentioning

confidence: 99%

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Computational Fluid Dynamics Based Modeling of Gas Absorption Process: A State-of-the-Art Review

Liu,

Wang,

Cai

et al. 2024

Ind. Eng. Chem. Res.

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A new Eulerian-Eulerian-Lagrangian solver in OpenFOAM and its application in a three-phase bubble column

et al. 2023

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Investigation on gas–liquid–solid three-phase flow model and flow characteristics in mining riser for deep-sea gas hydrate exploitation

Guo,

Chen,

et al. 2024

Physics of Fluids

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In response to the problem of gas–liquid–solid three-phase flow in deep-sea hydrate extraction pipelines, a gas–liquid–solid three-phase flow model considering the dynamic decomposition of hydrates is established using continuity equations, momentum equations, and energy equations. The numerical solution of the theoretical model is achieved using the finite difference method. Comparing the theoretical model with the experimental results, the results showed that the average error of gas holdup, liquid holdup, solid phase content, gas phase velocity, liquid phase velocity, and solid phase velocity obtained from the theory and experiment are 8.24%, 0.41%, 1.88%, 5.80%, 2.81%, and 2.22%, respectively, which verified the correctness of the theoretical model. On this basis, the influences of hydrate abundance, liquid phase displacement, and wellhead backpressure on the gas–liquid–solid three-phase flow characteristics in the pipeline were investigated, and it was found that the gas holdup rate will increase with the increase in hydrate abundance, liquid phase displacement, and wellhead backpressure, with the influence of hydrate abundance being more sensitive. The liquid holdup rate increases with the increase in hydrate abundance and liquid phase displacement, but decreases first and then increases toward the wellhead position with the increase in wellhead backpressure. The solid phase content decreases with the increase in hydrate abundance, and first increases and then decreases toward the wellhead position as the liquid phase displacement and wellhead backpressure increase. The influence of gas phase velocity on the abundance of hydrates is relatively small, but it increases with the increase in liquid phase displacement. When the wellhead backpressure increases, the instantaneous increase then tends to flatten out. The influence of hydrate abundance on the liquid phase velocity is also relatively small, but it increases with the increase in liquid phase displacement and decreases with the increase in wellhead backpressure. The solid phase velocity will increase with the increase in hydrate abundance and liquid phase displacement, but it will not show significant changes with the change of wellhead backpressure. The research results can provide a theoretical basis for the safety of hydrate mining.

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Numerical Simulation of Gas-Liquid-Solid Three Phase in Bubble Column

Cited by 3 publications

References 13 publications

Computational Fluid Dynamics Based Modeling of Gas Absorption Process: A State-of-the-Art Review

Computational Fluid Dynamics Based Modeling of Gas Absorption Process: A State-of-the-Art Review

A new Eulerian-Eulerian-Lagrangian solver in OpenFOAM and its application in a three-phase bubble column

Investigation on gas–liquid–solid three-phase flow model and flow characteristics in mining riser for deep-sea gas hydrate exploitation

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