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Power law approximations to gas volume fraction and velocity profiles in low void fraction vertical gas-liquid flows

Lucas, Gary, Mishra, Rakesh and Panayotopoulos, Nikolaos (2004) Power law approximations to gas volume fraction and velocity profiles in low void fraction vertical gas-liquid flows. Flow Measurement and Instrumentation, 15 (5/6). pp. 271-283. ISSN 0955-5986

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    Abstract

    A dual sensor conductance probe was used to measure the distributions of the local gas volume fraction and the local gas axial velocity in vertical upward, bubby air–water flows in which the mean gas volume fraction was less than 0.1. Very limited data are available in the literature for such low volume fraction flows. The measured local gas volume fraction and velocity distributions were approximated by power law functions. The power law exponents associated with the measured local gas volume fraction profiles were found to be up to 30% higher than values predicted in the literature. The power law exponents associated with the measured local gas velocity profiles were also found to be somewhat higher than values predicted in the literature. The power law exponents for the measured local gas volume fraction and local axial gas velocity distributions at a given flow condition were combined to obtain an estimate of the ‘Zuber–Findlay’ distribution parameter C0 at that flow condition. The mean value of C0 for all of the flow conditions investigated was 1.09. This value of C0 was found to give good agreement with the gradient of a plot of the mean gas velocity versus the homogeneous velocity uh, where and uh were obtained from reference measurements. This agreement is evidence for the good accuracy of the measured volume fraction and velocity profiles. Finally, the paper casts doubt upon previously published criteria regarding the optimum axial sensor separation in dual sensor probes.

    Item Type: Article
    Additional Information: UoA 25 (General Engineering) Copyright © 2004 Elsevier Ltd. All rights reserved
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Pedagogical Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
    School of Computing and Engineering > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    School of Computing and Engineering > Systems Engineering Research Group
    School of Computing and Engineering > High Performance Computing Research Group
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    References:

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    Depositing User: Briony Heyhoe
    Date Deposited: 12 Jul 2007
    Last Modified: 16 Dec 2010 09:49
    URI: http://eprints.hud.ac.uk/id/eprint/286

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