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Three-way coupling simulation of a gas-liquid stirred tank using a multi-compartment population balance model

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journal contribution
posted on 08.11.2016 by Jolius Gimbun, Shi Yan Liew, Zoltan Nagy, Chris Rielly
© 2016 by De Gruyter.Modelling of gas-liquid stirred tanks is very challenging due to the presence of strong bubble-liquid interactions. Depending upon the needs and desired accuracy, the simulation may be performed by considering one-way, two-way, three-way or four-way coupling between the primary and secondary phase. Accuracy of the prediction on the two-phase flow generally increases as the details of phase interactions increase but at the expense of higher computational cost. This study deals with two-way and three-way coupling of gas-liquid flow in stirred tanks which were then compared with results via four-way coupling. Population balance model (PBM) based on quadrature method of moments (QMOM) was implemented in a multi-compartment model of an aerated stirred tank to predict local bubble size. The multi-compartment model is regarded as three-way coupling because the local turbulent dissipation rates and flow rates were obtained from a two-way computational fluid dynamics (CFD) simulation. The predicted two-phase flows and local bubble size showed good agreement with experimental data.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Published in

Chemical Product and Process Modeling

Volume

11

Issue

3

Pages

205 - 216

Citation

GIMBUN, J. ...et al., 2016. Three-way coupling simulation of a gas-liquid stirred tank using a multi-compartment population balance model. Chemical Product and Process Modeling, 11(3), pp. 205-216.

Publisher

© Walter de Gruyter GmbH

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

28/05/2016

Publication date

2016-06-28

Notes

This paper was accepted for publication in the journal Chemical Product and Process Modeling and the definitive published version is available at http://dx.doi.org/10.1515/cppm-2015-0076

ISSN

2194-6159

eISSN

1934-2659

Language

en

Exports