2013
DOI: 10.1016/j.cherd.2013.06.021
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Simulation of polydisperse multiphase systems using population balances and example application to bubbly flows

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Cited by 51 publications
(44 citation statements)
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“…12. The comparison between these two cases clearly pointed out the need of reliable boundary conditions for similar simulations [35], which is an aspect often overlooked when similar test cases are considered both on the experimental and modeling point of 29 A C C E P T E D M A N U S C R I P T view. However, even without any knowledge of the mean bubble size formed by the gas sparger, the results obtained by means of the use of standard correlations are in general satisfactory, also in the reactive case considered in this work.…”
Section: Experiments Without Chemical Reactionsmentioning
confidence: 98%
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“…12. The comparison between these two cases clearly pointed out the need of reliable boundary conditions for similar simulations [35], which is an aspect often overlooked when similar test cases are considered both on the experimental and modeling point of 29 A C C E P T E D M A N U S C R I P T view. However, even without any knowledge of the mean bubble size formed by the gas sparger, the results obtained by means of the use of standard correlations are in general satisfactory, also in the reactive case considered in this work.…”
Section: Experiments Without Chemical Reactionsmentioning
confidence: 98%
“…1. Following our previous work on this topic, our QMOM and CQMOM implementation in the OpenFOAM (v. 2.2.x) solver compressibleTwoPhaseEulerFoam [35] is used here to simulate a reacting gas-liquid system, for which experimental data are available in the literature [40]. It is important to stress here that the CFD model is fully predictive: all the model constants have been derived from theory and no fitting constants are adjusted here to match experiments.…”
Section: Introductionmentioning
confidence: 99%
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“…In this perspective, the use of computational fluid dynamics (CFD) to solve an Eulerian multi-fluid model coupled with a population balance model (PBM) has shown to be an efficient tool to simulate polydisperse multiphase flow (Chen et al, 2005;Zucca et al, 2006;Silva et al, 2008;Petitti et al, 2010Petitti et al, , 2013Passalacqua et al, 2010;Silva and Lage, 2011;Yan et al, 2011;Buffo et al, 2012Buffo et al, , 2013a. Recently, Marchisio and Fox (2013) showed that this formulation can be deduced directly from the so-called generalized population balance equation (GPBE) that is basically the conservation equation for the particle number density including its dependence on all particle and fluid variables that may affect the particulate system behavior.…”
Section: Introductionmentioning
confidence: 99%