Numerical Analysis and Experimental Validation of Bubble Size Distributions in Two-Phase Bubble Column Reactors

Bertola, Federica; Grundseth, J.; Hagesaether, L.; Dorao, Carlos Alberto; Luo, H.; Hjarbo, K. W.; Svendsen, Hallvard F.; Vanni, Marco; Baldi, Giancarlo; Jakobsen, Hugo A.

doi:10.1615/.v17.i1-2.70

Cited by 4 publications

(10 citation statements)

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“…However, these results were found to clearly contradict the measurements performed by Hibiki et al 48 as well as some experimental observations. 67,68 One plausible explanation for this discrepancy could possibly be the error embedded in the turbulent dissipation rate prediction 69 as a consequence of the turbulence model being applied contributing in turn to excessively high coalescence rates in the MUSIG model. As reported in Chen et al, 39 similar observations also confirmed the high coalescence rates that were experienced in their bubble column study.…”

Section: Isothermal Bubbly Turbulent Pipe Flow Resultsmentioning

confidence: 99%

Population balance modeling of bubbly flows considering the hydrodynamics and thermomechanical processes

Cheung

Yeoh

2008

AIChE Journal

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in Wiley InterScience (www.interscience.wiley.com).Three-dimensional two-fluid model and population balance equation is presented to treat the complex hydrodynamics and thermomechanical processes under various bubbly flow conditions. The class method, realized by the MUSIG model, alongside with suitable bubble coalescence and bubble breakage kernels is adopted. Homogeneous MUSIG model predictions have shown to yield good agreement against isothermal bubbly flow measurements. Subcooled boiling flow is further modeled through the use of class method with an improved wall heat partition model. Against experimental data, numerical results also showed good agreement for the local Sauter mean bubble diameter, void fraction, and interfacial area concentration profiles. Inhomogeneous MUSIG model is applied to investigate transition bubbly-to-slug flow. Better prediction of bubble diameter is accomplished, especially capturing separation of small and large bubbles. Weakness exists nonetheless in the interfacial forces model. Work is in progress through the consideration of swarm and cluster bubbles instead of isolated spherical bubble calibration.

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Section: Isothermal Bubbly Turbulent Pipe Flow Resultsmentioning

confidence: 99%

Population balance modeling of bubbly flows considering the hydrodynamics and thermomechanical processes

Cheung

Yeoh

2008

AIChE Journal

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“…Depending on the concept used to relate the phase k velocity to the mixture velocity the extended mixture model formulations are referred to as the algebraic slip-, diffusion-or drift flux models. These mixture models have been applied to investigate chemical engineering problems by [19,21,91,155,175,178,195,206,216,245], among others.…”

Section: The Mixture Modelsmentioning

confidence: 99%

“…In particular applications alternative relations for the slip velocity (3.435) can be derived introducing suitable simplifying assumptions about the dispersed phase momentum equations comparing the relative importance of the pressure gradient, the drag force, the added mass force, the Basset force, the Magnus force and the Saffman lift force [62,127,133]. For gas-liquid flows it is frequently assumed that the last four effects are negligible [21,215]. The relation for the slip velocity is then written as:…”

Section: The Algebraic-slip Mixture Modelmentioning

confidence: 99%

“…However, at present there are neither sufficient knowledge available to model the tensor elements nor enough experimental data to validate such models. This gasliquid modeling approach has been used performing dynamic simulations of twophase bubble column reactor flows operating at low gas holdups [21,215,216]. A major limitation revealed in these simulations is that there is some difficulties in conserving mass for the dispersed phases, so this concept is not recommended for the purpose of simulating chemically reactive flows.…”

Section: The Algebraic-slip Mixture Modelmentioning

confidence: 99%

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Multiphase Flow

Jakobsen

2014

Chemical Reactor Modeling

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In this chapter the pertinent multiphase modeling concepts established in fluid mechanics are examined. The modeling framework constituting the basis for the next generation of chemical reactor models is presented. The average multi-fluid model represents a trade-off between accuracy and computational efforts. This concept is a direct multi-dimensional extension of the conventional reactor models with the addition of the momentum equations. The multi-fluid model is actually the only approach that can be used analyzing chemical reactive systems on industrial scales considering both inherent physics and feasible computational efforts. The remaining sections of the chapter are devoted to the derivation of the two-fluid and multi-fluid models, and to the description of the averaging procedures commonly used in multiphase flow analysis.

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“…Several resent studies indicate that algebraic slip models are sufficient modeling the flow pattern in bubble columns [14,21,118,157], as the pressure and steady drag forces only dominate the axial component of the gas momentum balance. Therefore, the population balance model can be merged with an algebraic slip model to reduce the computational cost required for preliminary analysis [14].…”

Section: Multi-fluid Models and Bubble Size Distributionsmentioning

confidence: 99%