Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3298
Title: Identification and Categorization of Flow-regimes of Counter-current Liquid-liquid Two-phase Flow through Inclined (450) Conduit of 11 mm Diameter
Authors: Samal, Kumar
Ghosh, Suman
Keywords: Liquid-liquid Two-phase Flow
Counter-current
Flow-regimes
Conductivity probe
Differential pressure transmeter
Issue Date: May-2019
Citation: 10th International Conference on Multiphase Flow (ICMF 2019),Rio de Janeiro, Brazil, 19-24 May 2019,
Abstract: Here, rigorous experimental investigations have been made on the flow-regime of counter-current liquid-liquid (kerosene-water) two-phase flow in an inclined (450) circular conduit with 11 mm diameter. The main objectives of the present experimental investigation are to detect, identify, characterize, and categorize the obtained flow-regimes based on their subjective as well as objective descriptions. Different flow-regimes obtained using different combinations of the superficial velocities of kerosene and water, have been detected and identified through visual observation together with high-resolution photography (using Canon 1300D DSLR camera) and high-speed videography (using PHANTOM high-speed camera). Visual descriptions are subjective in nature and can vary from subject to subject. Therefore, objective descriptions of the obtained flow-regimes have also been collected in the form of transient fluctuations of interfacial distributions and pressure drop across the conduit. In-house fabricated conductivity probes have been used to collect the transient fluctuation of interfacial distributions in terms of time series voltage signal whereas differential pressure transmitter has been used to collect the transient fluctuations of pressure drop in terms of time series current signal. Statistical analyses of the time series voltage and current signals have been performed to identify, detect, and categorize various flow-regimes. It has been found that the obtained signals and the corresponding statistical characteristics are able to successfully detect and categorize the flow-regimes.
Description: Copyright of this document belongs to proceedings publisher.
URI: http://hdl.handle.net/2080/3298
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