New objective approaches for characterization of interfacial structures in two-phase flow

M. Ishii, Y. Mi, L. H. Tsoukalas, S. Kim

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Two objective approaches for characterizing the interfacial structures and identifying flow regimes in two-phase flow are presented. The first approach is based on the use of a multi-sensor probe technique to get detailed local information. Performance of a newly designed four-sensor conductivity probe was investigated in a vertical test section with 50.8 mm i.d. The experimental data is categorized into two groups in view of their interfacial structures. Local information on the void fraction, interfacial area concentration. Sauter mean diameter, interface velocity, etc., was obtained successfully. The experimental data demonstrate well the characteristics of the two groups of bubbles. The second approach is based on the application of a non-intrusive impedance void-meter and neural networks. An advanced non-intrusive impedance void-meter provides input signals to neural networks which are used to identify vertical flow regimes. Both supervised and self-organizing neural network learning paradigms performed flow regime identification successfully. The methodology presented holds considerable promise for multiphase flow diagnostic and measurement applications.

    Original languageEnglish (US)
    Pages (from-to)205-212
    Number of pages8
    JournalAmerican Society of Mechanical Engineers, Heat Transfer Division, (Publication) HTD
    Volume361-5
    StatePublished - 1998
    EventProceedings of the 1998 ASME International Mechanical Engineering Congress and Exposition - Anaheim, CA, USA
    Duration: Nov 15 1998Nov 20 1998

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering
    • Fluid Flow and Transfer Processes

    Fingerprint

    Dive into the research topics of 'New objective approaches for characterization of interfacial structures in two-phase flow'. Together they form a unique fingerprint.

    Cite this