Rielly_Manuscript_CPPM.pdf (730.73 kB)
Three-way coupling simulation of a gas-liquid stirred tank using a multi-compartment population balance model
journal contribution
posted on 2016-11-08, 14:28 authored by Jolius Gimbun, Shi Yan Liew, Zoltan NagyZoltan Nagy, Chris RiellyChris 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 ModelingVolume
11Issue
3Pages
205 - 216Citation
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 GmbHVersion
- 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
2016-05-28Publication date
2016-06-28Notes
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-2015-0076ISSN
2194-6159eISSN
1934-2659Publisher version
Language
- en