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Multiphase Science and Technology

A Quarterly 

ISSN for PRINT: 0276-1459

Institutional price:

$694.00

Issues per year:

4

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Best Paper Award Selection - Editorial Board Site

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2008, Volume20

Issue 1

  84 pages  

DOI: 10.1615/MultScienTechn.v20.i1   

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  • PREDICTION OF THE TRANSLATIONAL VELOCITY OF LIQUID SLUGS IN GAS-LIQUID SLUG FLOW USING COMPUTATIONAL FLUID DYNAMICS
  • P. M. Ujang
    Department of Chemical Engineering, Imperial College London, Prince Consort Road, SW7 2AZ, UK

    Dr. Lei Pan
    Department of Chemical Engineering Imperial College of Science, Technology and Medicine London SW7 2BY United Kingdom.

    P. D. Manfield
    Department of Chemical Engineering & Chemical Technology, Imperial College of Science, Technology & Medicine, London SW7 2BY, UK

    C. J. Lawrence
    Department of Chemical Engineering & Chemical Technology, Imperial College of Science, Technology & Medicine, London SW7 2BY, UK

    Geoffrey F. Hewitt
    Department of Chemical Engineering & Chemical Technology, Imperial College of Science, Technology & Medicine, Prince Consort Road, London SW7 2BY UK


    ABSTRACT

    This paper describes the application of computational fluid dynamics to address the following problems in gas-liquid slug flow: (i) Effect of mixture velocity on slug tail propagation velocity and tail shape in horizontal slug flow; (ii) effect of tube inclination on slug propagation velocity; (iii) “bubble turning” in slug flow in a downward inclined pipe; (iv) effect of liquid viscosity on propagation and tail shape; (v) effect of gravity on propagation velocity; and (vi) effect of slug length on tail propagation velocity. All of the simulations were carried out using the Ansys CFX code, with tracking of the gas-liquid interface achieved using the volume of fluid technique. The flow conditions considered were within the turbulent regime, and for this, the standard kε model was used (although the influence of the turbulence model chosen was small). The calculated results compared favorably with experimental data, where such data is available.

    DOI: 10.1615/MultScienTechn.v20.i1.20

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