Effect of Liquid Velocity on Axial Mixing in Gas‐Liquid Dispersions: A CFD Simulation

Roy, Swarnendu; Joshi, Jyeshtharaj B.

doi:10.1002/ceat.200600154

Cited by 4 publications

(3 citation statements)

References 31 publications

(35 reference statements)

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“…CFD gives much more detailed information, reaching the level of local velocities and local holdup (Fig. 39) (339). Local gas holdup and axial liquid velocity along the radius of a column (345) can be predicted with a remarkable precision, and CFD results were validated.…”

Section: Computational Fluid Dynamics Cfd Tools Have Beenmentioning

confidence: 93%

“…published showing the capability of handling the complex problem of multiphase flow in ALRs (97,133,274,(331)(332)(333)(334)(335)(336)(337)(338)(339)(340)(341)(342)(343)(344). CFD gives much more detailed information, reaching the level of local velocities and local holdup (Fig.…”

Section: Computational Fluid Dynamics Cfd Tools Have Beenmentioning

confidence: 99%

“…Local gas holdup and axial liquid velocity along the radius of a column (345) can be predicted with a remarkable precision, and CFD results were validated. This tool also allows the prediction of mixing times and axial dispersion coefficients (339). One of the most difficult obstacles in the simulation of a multiphase system as those that we are analyzing is the behavior of the gas dispersion (346), most of the literature does not account for the dynamic breakage and coalescence of bubbles.…”

Section: Computational Fluid Dynamics Cfd Tools Have Beenmentioning

confidence: 99%

See 2 more Smart Citations

Bioreactors: Airlift Reactors

Merchuk

Camacho

2010

Encyclopedia of Industrial Biotechnology

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ALRs are popular in modern bioprocess research and development and, in many cases, they have found industrial uses. The distinctive characteristics of ALRs are conferred by the fluid dynamics of the liquid‐gas or liquid gas‐solid mixtures: holdup, liquid velocity, and mixing in the riser, gas separator, and downcomer. Only a correct understanding of the interconnection of these regions can make possible the scale‐up of a laboratory device, to pilot or industrial size. Several correlations are available in the literature for the prediction of the fluid dynamic characteristics of the reactor and of the mass and heat transfer coefficients, and a selection is presented in this review. Significant progress has been made in the application of modern computational tools to the simulation and design of ALRs. In parallel, innovative and sophisticated methods have been applied to obtain a deeper insight into the mechanisms of fluid motion and the flow patterns in the reactor. However, no single research group has managed to cover all the variables over a wide range. The engineer confronting scale‐up or de novo design of an ALR must analyze the validity of the correlations and computation methods used for the calculations.

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Section: Computational Fluid Dynamics Cfd Tools Have Beenmentioning

confidence: 93%

Section: Computational Fluid Dynamics Cfd Tools Have Beenmentioning

confidence: 99%

Section: Computational Fluid Dynamics Cfd Tools Have Beenmentioning

confidence: 99%

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Bioreactors: Airlift Reactors

Merchuk

Camacho

2010

Encyclopedia of Industrial Biotechnology

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Multiphase flow and mixing in dilute bubble swarms

Radl

Khinast

2010

AIChE Journal

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in Wiley Online Library (wileyonlinelibrary.com).High-fidelity three-dimensional (3-D) simulations of multiphase flow and mixing in dilute bubble swarms were performed using the Euler-Lagrange simulation approach. Included was species transport, as well as complex chemical reactions in the simulations. It was found that the algebraic SGS model satisfactory predicts experimental data for the mean flow field. A detailed description of multiphase flow was used and developed to simulate the time evolution of scalar and reactive mixing in a bubble column. An analysis involving the scale of segregation U, a metric that characterizes the mean driving force for mixing, is applied for the first time to multiphase flow. The study shows that U is inversely proportional to the bubble diameter at constant gas-feed rate, but only a weak function of the gas-feed rate. Also, we observed significant differences of mixing metrics in reactive and nonreactive systems. V V C 2010 American Institute of Chemical Engineers AIChE J, 56: 2421AIChE J, 56: -2445AIChE J, 56: , 2010

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CFD study of mixing characteristics of bubble column and external loop airlift reactor

Roy

Joshi

2008

Asia-Pacific J Chem Eng

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In the present work, a computational fluid dynamics study has been carried out to bring out the mixing characteristics of bubble column and external loop airlift reactor. A comparison of mixing time for two reactors has been presented on the basis of the same reactor volume as well as the total power input. The CFD model was validated by simulating flow, both in bubble column and external loop airlift reactor. An agreement was observed between the predicted and the experimental data available in the published literature. The validated CFD model has been extended for the simulation of the mixing time for both the reactors. The CFD predictions of mixing time show good agreement with the experimental values published in literature. A systematic numerical study was then carried out to bring out the mixing characteristics of both the reactors. Copyright © 2008 Curtin University of Technology and John Wiley & Sons, Ltd.

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Effect of Liquid Velocity on Axial Mixing in Gas‐Liquid Dispersions: A CFD Simulation

Cited by 4 publications

References 31 publications

Bioreactors: Airlift Reactors

Bioreactors: Airlift Reactors

Multiphase flow and mixing in dilute bubble swarms

CFD study of mixing characteristics of bubble column and external loop airlift reactor

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