Characterization of horizontal air–water two-phase flow

Ran Kong, Seungjin Kim

    Research output: Contribution to journalArticlepeer-review

    96 Scopus citations

    Abstract

    This paper presents experimental studies performed to characterize horizontal air–water two-phase flow in a round pipe with an inner diameter of 3.81 cm. A detailed flow visualization study is performed using a high-speed video camera in a wide range of two-phase flow conditions to verify previous flow regime maps. Two-phase flows are classified into bubbly, plug, slug, stratified, stratified-wavy, and annular flow regimes. While the transition boundaries identified in the present study compare well with the existing ones (Mandhane et al., 1974) in general, some discrepancies are observed for bubbly-to-plug/slug, and plug-to-slug transition boundaries. Based on the new transition boundaries, three additional test conditions are determined in horizontal bubbly flow to extend the database by Talley et al. (2015a). Various local two-phase flow parameters including void fraction, interfacial area concentration, bubble velocity, and bubble Sauter mean diameter are obtained. The effects of increasing gas flow rate on void fraction, bubble Sauter mean diameter, and bubble velocity are discussed. Bubbles begin to coalesce near the gas–liquid layer instead of in the highly packed region when gas flow rate increases. Using all the current experimental data, two-phase frictional pressure loss analysis is performed using the Lockhart–Martinelli method. It is found that the coefficient C = 24 yields the best agreement with the data with the minimum average difference. Moreover, drift flux analysis is performed to predict void-weighted area-averaged bubble velocity and area-averaged void fraction. Based on the current database, functional relations for ≪vg≫ vs. <j> and <α> vs. <jg>/<j> have been studied. It is found that ≪vg≫ – <j> method predicts the void-weighted area-averaged bubble velocity and area-averaged void fraction better compared to <α> – <jg>/<j> method.

    Original languageEnglish (US)
    Pages (from-to)266-276
    Number of pages11
    JournalNuclear Engineering and Design
    Volume312
    DOIs
    StatePublished - Feb 1 2017

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering
    • Nuclear and High Energy Physics
    • Safety, Risk, Reliability and Quality
    • Waste Management and Disposal
    • General Materials Science
    • Nuclear Energy and Engineering

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