SCI和EI收录∣中国化工学会会刊

中国化学工程学报 ›› 2022, Vol. 51 ›› Issue (11): 178-198.DOI: 10.1016/j.cjche.2021.10.003

• Full Length Article • 上一篇    下一篇

Void fraction measurement and calculation model of vertical upward co-current air–water slug flow

Teng Wang1, Miao Gui1,2, Jinle Zhao1, Qincheng Bi1, Tao Zhang1   

  1. 1. State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China;
    2. School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
  • 收稿日期:2021-06-13 修回日期:2021-10-08 出版日期:2022-11-18 发布日期:2023-01-18
  • 通讯作者: Qincheng Bi,E-mail:qcbi@mail.xjtu.edu.cn
  • 基金资助:
    This work was supported by National Key Research and Development Program of China (2018YFE011061). The authors thank the staff at the Institute of High Pressure Steam–water Two-Phase Flow and Heat Transfer in the State Key Laboratory of Multiphase Flow in Power Engineering, XJTU, for their constructive discussions and suggestions.

Void fraction measurement and calculation model of vertical upward co-current air–water slug flow

Teng Wang1, Miao Gui1,2, Jinle Zhao1, Qincheng Bi1, Tao Zhang1   

  1. 1. State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China;
    2. School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
  • Received:2021-06-13 Revised:2021-10-08 Online:2022-11-18 Published:2023-01-18
  • Contact: Qincheng Bi,E-mail:qcbi@mail.xjtu.edu.cn
  • Supported by:
    This work was supported by National Key Research and Development Program of China (2018YFE011061). The authors thank the staff at the Institute of High Pressure Steam–water Two-Phase Flow and Heat Transfer in the State Key Laboratory of Multiphase Flow in Power Engineering, XJTU, for their constructive discussions and suggestions.

摘要: 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 Cδ and nose shape CZ* were proposed to calculate αTB. In the liquid slug region, the radial void fraction distribution profiles were obtained to calculate αLS, 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 performed 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.

关键词: Slug flow, Gas–liquid flow, Void fraction, Measurement, Optical probe, Model

Abstract: 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 Cδ and nose shape CZ* were proposed to calculate αTB. In the liquid slug region, the radial void fraction distribution profiles were obtained to calculate αLS, 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 performed 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.

Key words: Slug flow, Gas–liquid flow, Void fraction, Measurement, Optical probe, Model