Void fraction measurement and calculation model of vertical upward co-current air–water slug flow
Full Length Article|Updated:2026-01-06
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Void fraction measurement and calculation model of vertical upward co-current air–water slug flow
Chinese Journal of Chemical EngineeringVol. 51, Issue 11, Pages: 178-198(2022)
Affiliations:
1. State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University,Xi’an,China,710049
2. School of Nuclear Science and Technology, Xi’an Jiaotong University,Xi’an,China,710049
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Published:2022
Accepted:
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Teng Wang, Miao Gui, Jinle Zhao, Qincheng Bi, Tao Zhang. Void fraction measurement and calculation model of vertical upward co-current air–water slug flow[J]. Chinese Journal of Chemical Engineering, 2022, 51(11): 178-198.
DOI:
Teng Wang, Miao Gui, Jinle Zhao, Qincheng Bi, Tao Zhang. Void fraction measurement and calculation model of vertical upward co-current air–water slug flow[J]. Chinese Journal of Chemical Engineering, 2022, 51(11): 178-198.DOI:
Void fraction measurement and calculation model of vertical upward co-current air–water slug flow
The focus of this paper is on the measurement and calculation model of void fraction for the vertical upward co-current air–water slug flow in a circular tube of 15 mm inner diameter. High-speed photography and optical probes were utilized
with water superficial velocity ranging from 0.089 to 0.65 m·s
-1
and gas superficial velocity ranging from 0.049 to 0.65 m·s
-1
. A new void fraction model based on the local parameters was proposed
disposing the slug flow as a combination of Taylor bubbles and liquid slugs. In the Taylor bubble region
correction factors of liquid film thickness
C
δ
and nose shape
C
Z
*
were proposed to calculate
α
TB
. In the liquid slug region
the radial void fraction distribution profiles were obtained to calculate
α
LS
by employing the image processing technique based on supervised machine learning. Results showed that the void fraction proportion in Taylor bubbles occupied crucial contribution to the overall void fraction. Multiple types of void fraction predictive correlations were assessed using the present data. The performance of the Schmidt model was optimal
while some models for slug flow p
erformed not outstanding. Additionally
a predictive correlation was correlated between the central local void fraction and the cross-sectional averaged void fraction
as a straightforward form of the void fraction calculation model. The predictive correlation showed a good agreement with the present experimental data
as well as the data of Olerni
et al.
indicating that the new model was effective and applicable under the slug flow conditions.
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