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Drift-flux correlation based on coaxial line phase sensor in a horizontal slug flow

•The void fraction of horizontal slug flow was measured by coaxial line phase sensor.•The existing drift-flux void fraction correlations have been assessed and analyzed.•The distribution parameter and drift velocity are optimized reasonably.•The void fraction correlation acceptably handle different...

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Bibliographic Details
Published in:Experimental thermal and fluid science 2023-04, Vol.142, p.110828, Article 110828
Main Authors: Zhao, Zhiyue, Wang, Xiaojie, Wang, Fan, Li, Xiaoting, Fang, Lide, Zhao, Ning
Format: Article
Language:English
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Summary:•The void fraction of horizontal slug flow was measured by coaxial line phase sensor.•The existing drift-flux void fraction correlations have been assessed and analyzed.•The distribution parameter and drift velocity are optimized reasonably.•The void fraction correlation acceptably handle different phase velocities and pressures is proposed. In two-phase flow, void fraction plays an important role in the pressure gradient calculation and the flow pattern analysis, while the distribution parameter C0 and drift velocity ugm are crucial parameters in the establishment of drift flux void fraction correlation. Since the distribution parameter and drift velocity in the constitutive equation cannot reflect the influence of gas–liquid velocity and pressure in most existing correlations, theoretical and experimental studies are carried out to solve these problems in this study. The electromagnetic wave coaxial line phase sensor is designed for void fraction measurement, and the horizontal slug flow experiments (63 data points) have been conducted in a stainless steel tubular test section with an inside diameter of 50.0 mm. A comparison of the performance of thirteen existing drift-flux predictive correlations based on current and literature data (with different pressures (0.1–0.6 MPa) and pipe diameters (19–101.6 mm)) is made. Based on comparative analysis, the L-M parameter X, the liquid mass quality ratio to gas mass quality (1-x)/x and superficial velocity um are chosen to optimize the structure of existing models. A new drift flux correlation that could handle different phase velocities and system pressure is proposed. Experimental results indicate that the mean absolute percentage error (MAPE) of the distribution parameter and drift velocity correlations are 5.88 % and 27.37 %. The MAPE of the drift flux void fraction is 6.98 % (current data) and 11.07 % (literature data), respectively.
ISSN:0894-1777
1879-2286
DOI:10.1016/j.expthermflusci.2022.110828