CFD simulation of bubble columns incorporating population balance modeling

Bhole, Manish R.; Joshi, Jyeshtharaj B.; Ramkrishna, Doraiswami

doi:10.1016/j.ces.2008.01.013

Cited by 179 publications

(127 citation statements)

References 30 publications

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“…The QMOM method was first used by McGraw. [39,40] The method requires a relatively small number of scalar equations to track the moments of population with small errors. [41] This approach is deemed sufficient for the present to provide information useful for engineering and design purposes.…”

Section: Population Balance Modellingmentioning

confidence: 99%

CFD simulation and comparison of industrial crystallizers

et al. 2014

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Simulation of flow patterns in eleven industrial crystallizers (standard Messo, Cerny direct contact, Swenson draft tube baffled, Swenson walker, Swenson evaporative, Oslo cooling, Oslo Krystal, APV Kestner, Batch Vacuum, stirred tank with disc turbine, and stirred tank with pitched blade impeller) have been carried out using computational fluid dynamics (CFD). Population balance modelling (PBM) is coupled with CFD to obtain better results. In all the cases, the crystallizer volume was 100 liter and the power consumption per unit volume was 1 kW/m 3 . The simulation results have been presented in terms of mean velocity components, turbulent kinetic energy and dissipation rate. On the basis of the flow patterns, these eleven crystallizers have been compared for crystal size distribution (CSD). It was found that Swenson Evaporative, Krystal and Batch Vacuum provide relatively low CSD.

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Section: Population Balance Modellingmentioning

confidence: 99%

CFD simulation and comparison of industrial crystallizers

et al. 2014

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“…But, as shown in the experiments of [24], the prediction of bubble size distribution is very important to understand the hydrodynamics of bubble columns. The bubble size can vary depending upon the operating conditions and the physical properties [25].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Absorbing CO₂ with Ionic Liquids

et al. 2010

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Although separating CO 2 from flue gas with ionic liquids has been regarded as a new and effective method, the mass transfer properties of CO 2 absorption in these solvents have not been researched. In this paper, a coupled computational fluid dynamic (CFD) model and population balance model (PBM) was applied to study the mass transfer properties for capturing CO 2 with ionic liquids solvents. The numerical simulation was performed using the Fluent code. Considering the unique properties of ionic liquids, the Eulerian-Eulerian two-flow model with a new drag coefficient correlation was employed for the gas-liquid fluid dynamic simulation. The gas holdup, interfacial area, and bubble size distribution in the bubble column reactor were predicted. The mass transfer coefficients were estimated with Higbie's penetration model. Furthermore, the velocity field and pressure field in the reactor were also predicted in this paper.

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“…Although some papers [22][23][24] have researched the theoretical model for bubble breakup and coalesce in turbulent flow. These models only were applied to the bubble columns, and that were in the perspective of statistics.…”

Section: Analysis Of Two-phase Flow and Bubbles Behavior In A Continumentioning

confidence: 99%