3D Numerical Simulations of Gas–Liquid Two-Phase Flows in Aluminum Electrolysis Cells with the Coupled Model of Computational Fluid Dynamics–Population Balance Model

2017 ◽  
Vol 56 (30) ◽  
pp. 8649-8662 ◽  
Author(s):  
Shuiqing Zhan ◽  
Zhentao Wang ◽  
Jianhong Yang ◽  
Ruijie Zhao ◽  
Changfeng Li ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Simulations ◽  
Coupled Model ◽  
Aluminum Electrolysis ◽  
Population Balance ◽  
Balance Model ◽  
Population Balance Model ◽  
Two Phase ◽  
Electrolysis Cells

Modelling of Bubble Growth in Supersaturated Solution Using Computational Fluid Dynamics - Population Balance Model (CFD-PBM) Approach

2015 ◽  
Vol 362 ◽  
pp. 200-208
Author(s):  
Zhen Hong Ban ◽  
Kok Keong Lau ◽  
Mohd Shariff Azmi
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Bubble Size ◽  
Bubble Growth ◽  
Population Balance ◽  
Balance Model ◽  
Population Balance Model ◽  
Supersaturated Solution ◽  
Supersaturation Ratio ◽  
Growth Phenomenon

The bubble growth modelling in a supersaturated solution is difficult to be accomplished as it requires coupling of many interrelated hydrodynamics and mass transfer parameters which include pressure drop, supersaturation ratio, bubble size, etc. In the current work, all these factors have been taken into consideration to predict bubble growth in a supersaturated solution using Computational Fluid Dynamics (CFD) – Population Balance Model (PBM) approach. A classical bubble growth model has been used in the simulation. The bubble growth rate was successfully validated with experimental data in terms of bubble size. The attempt to simulate the bubble growth phenomenon of more than a single bubble condition has also been presented. The outcome of this approach is expected to be applied in many engineering areas.

scholarly journals Three-Way Coupling Simulation of a Gas-Liquid Stirred Tank using a Multi-Compartment Population Balance Model

2016 ◽  
Vol 11 (3) ◽  
pp. 205-216 ◽  
Author(s):  
Jolius Gimbun ◽  
Shi Yan Liew ◽  
Zoltan K. Nagy ◽  
Chris D. Rielly
Keyword(s):  
Bubble Size ◽  
Population Balance ◽  
Compartment Model ◽  
Stirred Tank ◽  
Balance Model ◽  
Population Balance Model ◽  
Stirred Tanks ◽  
Two Phase ◽  
Bubble Liquid ◽  
Local Bubble

Abstract 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.

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