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Research Papers: Heat and Mass Transfer

Analysis of the Interchange Rate and Pressure Gradient of Annular Flow Based on a Probability Model

[+] Author and Article Information
Ri Zhang

College of Engineering,
Ocean University of China,
Qingdao 266100, China
e-mail: nightfrog@126.com

Feng Zhang, Sheng Dong

College of Engineering,
Ocean University of China,
Qingdao 266100, China

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received December 11, 2017; final manuscript received May 14, 2018; published online June 8, 2018. Assoc. Editor: George S. Dulikravich.

J. Heat Transfer 140(10), 102003 (Jun 08, 2018) (7 pages) Paper No: HT-17-1743; doi: 10.1115/1.4040346 History: Received December 11, 2017; Revised May 14, 2018

The phase distribution and mechanical properties of annular flow have obvious, random characteristics because of the influence of turbulence. Thus, probability analysis is a suitable method for the study of annular flow. In the present work, the interchange rate and pressure gradient of fully developed annular flow are investigated in detail based on a probability model. The probability model tracks the atomization and deposition processes of a single particle to analyze the momentum and mass exchange between the gas and liquid phases. The interchange rate can be calculated by summing the generation or disappearance probability of droplets with different sizes. The pressure gradient can be obtained by solving the basic equations of the annular flow, which contains an improved relationship of interfacial shear stress. The predictions of the interchange rate and pressure gradient are well verified by comparison with experimental data available in the literature. Furthermore, the effects of the gas and liquid flow rates on the interchange rate and pressure gradient are discussed in detail.

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References

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Figures

Grahic Jump Location
Fig. 1

Comparison of interchange rates between the probability model and experiments [9,26,27]

Grahic Jump Location
Fig. 2

Comparison of pressure gradient between the probability model and experiments [2830]

Grahic Jump Location
Fig. 3

Effects of parameters on the interchange rate prediction [9,26,27]: (a) interchange rate versus superficial gas velocity and (b) interchange rate versus superficial liquid velocity

Grahic Jump Location
Fig. 4

Effects of parameters on the pressure gradient prediction [2830]: (a) pressure gradient versus superficial gas velocity and (b) pressure gradient versus superficial liquid velocity

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