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Numerical study of oxygen transport characteristics in lead-bismuth eutectic for gas-phase oxygen control

  • Wang, Chenglong (School of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Zhang, Yan (School of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Zhang, Dalin (School of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Lan, Zhike (Nuclear Power Institute of China) ;
  • Tian, Wenxi (School of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Su, Guanghui (School of Nuclear Science and Technology, Xi'an Jiaotong University) ;
  • Qiu, Suizheng (School of Nuclear Science and Technology, Xi'an Jiaotong University)
  • Received : 2020.09.27
  • Accepted : 2021.01.28
  • Published : 2021.07.25

Abstract

One-dimensional oxygen transport relation is indispensable to study the oxygen distribution in the LBE-cooled system with an oxygen control device. In this paper, a numerical research is carried out to study the oxygen transport characteristics in a gas-phase oxygen control device, including the static case and dynamic case. The model of static oxygen control is based on the two-phase VOF model and the results agree well with the theoretical expectation. The model of dynamic oxygen control is simplified and the gas-liquid interface is treated as a free surface boundary with a constant oxygen concentration. The influences of the inlet and interface oxygen concentration, mass flow rate, temperature, and the inlet pipe location on the mass transfer characteristics are discussed. Based on the results, an oxygen mass transport relation considering the temperature dependence and velocity dependence separately is obtained. The relation can be used in a one-dimensional system analysis code to predict the oxygen provided by the oxygen control device, which is an important part of the integral oxygen mass transfer models.

Keywords

Acknowledgement

Financial support for this work was provided by the National Natural Science Foundation of China (No. 11675162) and the National Key Research and Development Program of China (No. 2019YFB1901300).

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