Computational fluid dynamics simulations of phase separation in dispersed oil-water pipe flows

被引:8
作者
Chen, Jianhua [1 ,4 ]
Anastasiou, Charitos [2 ]
Cheng, Sibo [3 ]
Basha, Nausheen Mehboob [1 ]
Kahouadji, Lyes [1 ]
Arcucci, Rossella [3 ,5 ]
Angeli, Panagiota [2 ]
Matar, Omar K. [1 ]
机构
[1] Imperial Coll London, Dept Chem Engn, South Kensington Campus, London SW7, England
[2] UCL, Dept Chem Engn, ThAMeS Multiphase, London WC1E, England
[3] Data Sci Inst, Imperial Coll London, Dept Comp, London SW7, England
[4] Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China
[5] Imperial Coll London, Dept Earth Sci & Engn, London SW7, England
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会;
关键词
Oil -water flow; Droplet coalescence; Separation characteristics; Dense packed layer; Blending; POPULATION BALANCE MODEL; BATCH GRAVITY SEPARATION; LIQUID-LIQUID DISPERSIONS; CRUDE-OIL; HORIZONTAL PIPE; BUBBLE-COLUMN; PART I; COALESCENCE; CFD; DROP;
D O I
10.1016/j.ces.2022.118310
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The separation of liquid-liquid dispersions in horizontal pipes is common in many industrial sectors. It remains challenging, however, to predict the separation characteristics of the flow evolution due to the complex flow mechanisms. In this work, Computational Fluid Dynamics (CFD) simulations of the silicone oil and water two-phase flow in a horizontal pipe are performed. Several cases are explored with different mixture velocities and oil fractions (15%-60%). OpenFOAM (version 8.0) is used to perform Eulerian-Eulerian simulations coupled with population balance models. The 'blending factor' in the multiphaseEulerFoam solver captures the retardation of the droplet rising and coalescing due to the complex flow behaviour in the dense packed layer (DPL). The blending treatment provides a feasible compensation mechanism for the mesoscale uncertainties of droplet flow and coalescence through the DPL and its adjacent layers. In addition, the influence of the turbulent dispersion force is also investigated, which can improve the prediction of the radial distribution of concentrations but worsen the separation characteristics along the flow direction. Although the simulated concentration distribution and layer heights agree with the experiments only qualitatively, this work demonstrates how improvements in drag and coalescence modelling can be made to enhance the prediction accuracy. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
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页数:18
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