2003
DOI: 10.1002/cjce.5450810348
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Modelling of Gas‐Liquid/Gas‐Liquid‐Solid Flows in Bubble Columns: Experiments and CFD Simulations

Abstract: Gas-liquid/gas-liquid-solid systems are widely used in the chemical process industry for a variety of applications. Recently, gas to liquid (GTL) technologies employing gas-liquid-solid systems, are receiving a wide attention. Gas-liquid flows in bubble columns are intrinsically unsteady and are composed of several flow processes occurring at different time and space scales. The presence of solids further complicates the unsteady fluid dynamics. The unsteady fluid dynamics often govern the mixing and transport… Show more

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Cited by 67 publications
(55 citation statements)
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“…Baten and Krishna [9] ignored the added mass force and lift force for the simulation of multi-stage bubble columns. And the studies of Rampure et al [37] and Diaz et al [38] indicate that inclusion of virtual mass force does not result in any significant difference in the dynamic and time-averaged flow properties. A recent review by Sokolichin et al [39] clearly indicates the conflicting information about how the value of the lift coefficient varies with superficial gas velocity.…”
Section: Continuity and Momentum Equationsmentioning
confidence: 96%
“…Baten and Krishna [9] ignored the added mass force and lift force for the simulation of multi-stage bubble columns. And the studies of Rampure et al [37] and Diaz et al [38] indicate that inclusion of virtual mass force does not result in any significant difference in the dynamic and time-averaged flow properties. A recent review by Sokolichin et al [39] clearly indicates the conflicting information about how the value of the lift coefficient varies with superficial gas velocity.…”
Section: Continuity and Momentum Equationsmentioning
confidence: 96%
“…The studies of Rampure et al [10] and Diaz et al [18] indicate that inclusion of virtual mass force, does not result in any significant difference in dynamic and time averaged flow properties. Therefore, virtual mass force is not considered in this present work.…”
Section: Computational Modelmentioning
confidence: 96%
“…G k,m is the generation of turbulence kinetic energy in the mixture, based on gradients of mean velocity and turbulent viscosity and is computed from, G k,m = t,m (∇u m + (∇u m ) T ) : ∇u m (18) Following earlier studies, we have neglected the effect of G e , the extra turbulence generation due to presence of dispersed phase [10,27]. In all the simulations, standard values of the k-ε model parameters [26] were used (C 1 = 1.44; C 2 = 1.92; C =0.09; k = 1.0; ε = 1.3).…”
Section: Computational Modelmentioning
confidence: 99%
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“…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%