A coalescence and breakup module for implementation in CFD-codes

Hagesaether, Lars; Jakobsen, Hugo A.; Hjarbo, Kai; Svendsen, Hallvard F.

doi:10.1016/s1570-7946(00)80063-2

Cited by 20 publications

(20 citation statements)

References 10 publications

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“…Finally, although direct experimental results were not presented as part of this paper, the results obtained from the base case (six bubble classes, low gas velocity) compared very well with the numerical and experimental results of Hagesather et al 30 Furthermor,e extensive calculations for a three-dimensional case have been performed 32 for a cylindrical bubble column, and excellent agreement was reported between the current CFD model and experimental data. …”

Section: Discussionsupporting

confidence: 72%

On the Comparison between Population Balance Models for CFD Simulation of Bubble Columns

Sanyal

Marchisio

Fox

et al. 2004

Ind. Eng. Chem. Res.

125

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CFD simulations of bubble columns have received much attention, and several multiphase models have been developed, tested, and validated through comparison with experimental data. It is well-known that bubble coalescence and breakup can lead to significant variations in the bubble size distribution and that, to model the evolution of the dispersed gas phase, the population balance equation has to be solved. In this work, a classes method (CM) and a method of moments (MOM) are investigated and compared. The MOM represents an attractive alternative in which, instead of tracking the entire bubble distribution, only the lowerorder moments of the distribution are tracked. The above two approaches have been implemented in the commercial CFD code FLUENT, version 6.0, in conjunction with the Eulerian multiphase model. CFD simulations of bubble columns have received much attention, and several multiphase models have been developed, tested, and validated through comparison with experimental data. It is well-known that bubble coalescence and breakup can lead to significant variations in the bubble size distribution and that, to model the evolution of the dispersed gas phase, the population balance equation has to be solved. In this work, a classes method (CM) and a method of moments (MOM) are investigated and compared. The MOM represents an attractive alternative in which, instead of tracking the entire bubble distribution, only the lower-order moments of the distribution are tracked. The above two approaches have been implemented in the commercial CFD code FLUENT, version 6.0, in conjunction with the Eulerian multiphase model. Disciplines Chemical Engineering | Process Control and Systems Comments

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Section: Discussionsupporting

confidence: 72%

On the Comparison between Population Balance Models for CFD Simulation of Bubble Columns

Sanyal

Marchisio

Fox

et al. 2004

Ind. Eng. Chem. Res.

125

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“…The discussion of aggregation and breakage kernels is beyond the scope of this paper. Therefore, it was decided to utilize the ones (Luo and Svendsen [46] and Hagesather et al [47]) that have been widely adopted for the bubble columns (Bannari et al [1], Kerdouss et al [18], Kerdouss et al [59], Kerdouss et al [60] and Selma et al [33]). The equations of coalescence and breakage kernels are shown in Table 3.…”

Section: Closure Models For Coalescence and Breakagementioning

confidence: 99%

Modelling of Bubbly Flow Using CFD-PBM Solver in OpenFOAM: Study of Local Population Balance Models and Extended Quadrature Method of Moments Applications

2018

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Abstract:In order to optimize and design new bubbly flow reactors, it is necessary to predict the bubble behavior and properties with respect to the time and location. In gas-liquid flows, it is easily observed that the bubble sizes may vary widely. The bubble size distribution is relatively sharply defined, and bubble rises are uniform in homogeneous flow; however bubbles aggregate, and large bubbles are formed rapidly in heterogeneous flow. To assist in the analysis of these systems, the volume, size and other properties of dispersed bubbles can be described mathematically by distribution functions. Therefore, a mathematical modeling tool called the Population Balance Model (PBM) is required to predict the distribution functions of the bubble motion and the variation of their properties. In the present paper, two rectangular bubble columns and a water electrolysis reactor are modeled using the open-source Computational Fluid Dynamic (CFD) package OpenFOAM. Furthermore, the Method of Classes (CM) and Quadrature-based Moments Method (QBMM) are described, implemented and compared using the developed CFD-PBM solver. These PBM tools are applied in two bubbly flow cases: bubble columns (using a Eulerian-Eulerian two-phase approach to predict the flow) and a water electrolysis reactor (using a single-phase approach to predict the flow). The numerical results are compared with measured data available in the scientific literature. It is observed that the Extended Quadrature Method of Moments (EQMOM) leads to a slight improvement in the prediction of experimental measurements and provides a continuous reconstruction of the Number Density Function (NDF), which is helpful in the modeling of gas evolution electrodes in the water electrolysis reactor.

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“…The population balance equations (Eq. 13) for different bubble classes can be written as [32][33][34]: The bubble breakup is analyzed in terms of bubbles interaction with turbulent eddies. These turbulent eddies increase the bubble surface energy to cause deformation.…”

Section: Population Balance Model For Bubble Distributionsmentioning

confidence: 99%