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Multiphase Science and Technology

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ISSN Imprimer: 0276-1459

ISSN En ligne: 1943-6181

SJR: 0.144 SNIP: 0.256 CiteScore™:: 1.1 H-Index: 24

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EFFECT OF DRAG MODELING ON THE PREDICTION OF CRITICAL REGIME TRANSITIONS IN AGITATED GAS-LIQUID REACTORS WITH BUBBLE SIZE DISTRIBUTION MODELING

Volume 21, Numéro 1-2, 2009, pp. 95-106
DOI: 10.1615/MultScienTechn.v21.i1-2.80
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RÉSUMÉ

A four baffled gas-liquid reactor, agitated by a Rushton turbine, has been modeled in a wide range of operating conditions (mixing intensities and gas flow numbers) by using a Eulerian multifluid approach coupled with a population balance model to describe the evolution of the bubble size distribution. In particular, the work has focused on the role played by drag force, calculated by resorting to the Tomiyama correlation and the Bakker correction for the slip turbulent reduction, on the predictions of fluid-dynamics regime transitions and of the structure assumed by the gas phase near the turbine blades. This investigation was carried out under very different operating conditions, also assessing the ability of the model to predict global data such as the overall gas hold-up and power number. Simulations were carried out via the commercial computational fluid dynamics code Fluent, and both the drag and the population balance model were implemented through user-defined functions and subroutines. Comparisons with correlations based on experimental data and directly with experimental data for the bubble size distribution, also at quite high gas hold-ups, showed that the Bakker correction for the slip turbulent reduction, when implemented with the standard constant values, underestimates the overall drag force. In order to improve agreement with experimental data, new constant values are proposed.

RÉFÉRENCES
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CITÉ PAR
  1. Buffo A., Vanni M., Marchisio D.L., Multidimensional population balance model for the simulation of turbulent gas–liquid systems in stirred tank reactors, Chemical Engineering Science, 70, 2012. Crossref

  2. Petitti Miriam, Vanni Marco, Marchisio Daniele L., Buffo Antonio, Podenzani Fabrizio, Simulation of coalescence, break-up and mass transfer in a gas–liquid stirred tank with CQMOM, Chemical Engineering Journal, 228, 2013. Crossref

  3. Petitti Miriam, Nasuti Andrea, Marchisio Daniele L., Vanni Marco, Baldi Giancarlo, Mancini Nicola, Podenzani Fabrizio, Bubble size distribution modeling in stirred gas-liquid reactors with QMOM augmented by a new correction algorithm, AIChE Journal, 56, 1, 2010. Crossref

  4. Renze Peter, Buffo Antonio, Marchisio Daniele L., Vanni Marco, Simulation of Coalescence, Breakup, and Mass Transfer in Polydisperse Multiphase Flows, Chemie Ingenieur Technik, 86, 7, 2014. Crossref

  5. Gao Zhengming, Li Dongyue, Buffo Antonio, Podgórska Wioletta, Marchisio Daniele L., Simulation of droplet breakage in turbulent liquid–liquid dispersions with CFD-PBM: Comparison of breakage kernels, Chemical Engineering Science, 142, 2016. Crossref

  6. Buffo A., Vanni M., Renze P., Marchisio D.L., Empirical drag closure for polydisperse gas–liquid systems in bubbly flow regime: Bubble swarm and micro-scale turbulence, Chemical Engineering Research and Design, 113, 2016. Crossref

  7. Tang Qiao, Ye Sishi, Wang Yundong, Liu Zuohua, A study on liquid‐liquid dispersions in a continuous mixer via computational fluid dynamics (CFD) simulation combined with population balance model (PBM), The Canadian Journal of Chemical Engineering, 2018. Crossref

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