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Parametric study of two-phase flow by integral analysis based on power law distribution

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Abstract

To understand the fluid dynamic forces acting on a structure subjected to two-phase flow, it is essential to obtain detail information on the characteristics of that flow. The distributions of flow parameters across a pipe, such as gas velocity, liquid velocity and void fraction, may be assumed to follow a power law (Cheng 1998; Serizawa et al. 1975). The void fraction profile is, for example, uniform for bubbly flow, whereas for slug flow it is more or less parabolic. In the present work, the average values of momentum flux, slip ratio and other parameters were derived by integral analysis, based on approximate power law distributions. A parametric study with various distributions was performed. The existing empirical formulations for average void fraction, proposed by Wallis (1969), Zuber et al. (1967) and Ishii (1976), were considered in the derivation of the present results. Notably, the unsteady momentum flux for slug flow was approximated.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Hannam University, Taejeon, 306-791, Korea

    Woo Gun Sim

  2. Department of Mechanical Engineering, École Polytechnique, Montreal, H3T 1J4, Canada

    N. W. Mureithi & M. J. Pettigrew

Authors
  1. Woo Gun Sim
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  2. N. W. Mureithi
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  3. M. J. Pettigrew
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Correspondence to Woo Gun Sim.

Additional information

This paper was recommended for publication in revised form by Associate Editor Gihun Son

Woo-Gun Sim received his B.S. degree in Mechanical Engineering from Inha University, Korea, in 1982. He was awarded his M.S. and Ph.D. degrees from McGill University, Canada, in 1987 and 1992, respectively. Dr. Sim is currently a Professor at the School of Mechanical Engineering at Hannam University in Taejeon, Korea. Dr. Sim’s research interests include flow-induced vibration, two-phase flow and fluid dynamics.

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Sim, W.G., Mureithi, N.W. & Pettigrew, M.J. Parametric study of two-phase flow by integral analysis based on power law distribution. J Mech Sci Technol 24, 1379–1387 (2010). https://doi.org/10.1007/s12206-010-0419-z

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  • DOI: https://doi.org/10.1007/s12206-010-0419-z

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