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Probability model for gas–liquid annular flow in dynamic equilibrium among the processes of atomization, deposition, breakup, and coalescence.

Authors :
Wang, Yumiao
Zhang, Ri
Liu, Yong
Zhou, Zhongwei
Yin, Jifu
Source :
Physics of Fluids. Feb2024, Vol. 36 Issue 2, p1-17. 17p.
Publication Year :
2024

Abstract

In this paper, an improved probability model is introduced to provide a more comprehensive prediction of annular flow. Unlike previous work, which did not consider atomization and deposition, as well as breakup and coalescence, simultaneously, the improved model integrates all four processes into its framework. The mechanisms of these processes are described in detail by the present model. When annular flow is fully developed, the four processes reach dynamic equilibrium. A numerical program is compiled based on the influence of the four processes on the droplets. Five important parameters, including the droplet-diameter probability density distribution, characteristic droplet diameters, entrainment ratio, liquid film thickness, and interfacial shear-stress coefficient, are calculated when the annular flow is in dynamic equilibrium. The validity and accuracy of the improved model are assessed by comparison with 377 cases from 12 experiments. For most cases used to validate the predicted droplet-diameter probability density distribution, the prediction curves closely match the experimental data. The mean absolute percentage errors (MAPEs) for the two experiments used to validate the predicted characteristic droplet diameters are 20.74% and 24.04%, respectively. Additionally, the mean MAPEs of the entrainment ratio, liquid film thickness, and interfacial shear-stress coefficient are found to be 34.11%, 20.60%, and 27.28%, respectively. This demonstrates the effectiveness and reliability of the improved probability model in predicting annular flow. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10706631
Volume :
36
Issue :
2
Database :
Academic Search Index
Journal :
Physics of Fluids
Publication Type :
Academic Journal
Accession number :
175796631
Full Text :
https://doi.org/10.1063/5.0188099