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Volume 42 Issue 6
Dec.  2021
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Zhang Yongfa, Du Keyue, Cao Xiaxin, Fang Yuliang, Liu Xiaoya, Jiang Lizhi. Characteristic Analysis on Distribution of Void Fraction during Stable Flow Flashing Process under Low Pressure[J]. Nuclear Power Engineering, 2021, 42(6): 12-16. doi: 10.13832/j.jnpe.2021.06.0012
Citation: Zhang Yongfa, Du Keyue, Cao Xiaxin, Fang Yuliang, Liu Xiaoya, Jiang Lizhi. Characteristic Analysis on Distribution of Void Fraction during Stable Flow Flashing Process under Low Pressure[J]. Nuclear Power Engineering, 2021, 42(6): 12-16. doi: 10.13832/j.jnpe.2021.06.0012

Characteristic Analysis on Distribution of Void Fraction during Stable Flow Flashing Process under Low Pressure

doi: 10.13832/j.jnpe.2021.06.0012
  • Received Date: 2020-11-11
  • Rev Recd Date: 2021-01-07
  • Publish Date: 2021-12-09
  • Taking the flashing phenomenon in the low pressure natural circulation system as the research object, the change law of void fraction in the stage of stable two-phase natural circulation flow driven by flashing is analyzed. Through the analysis, the following law is found that the inlet fluid temperature of the rising section and the liquid level height of the water tank will cause the flow to affect the flashing vaporization process, which makes the radial and axial distribution of the void fraction different. Through the analysis, it is concluded that the main factor affecting the vaporization process is the fluid superheat degree. It is known that reducing the fluid degree of subcooling at the inlet of the rising section, the flashing starting point will move down, and the flashing two-phase section will become longer. Along with the continuous flashing vaporization, the fluid degree of subcooling decreases gradually, the axial void fraction distribution increases rapidly first and then gradually slows down, and the radial void fraction changes from “wall peak” type to “nuclear peak” type. Then, based on the change of local fluid degree of subcooling, fitting gives the calculation formula of axial void fraction under different cases. By comparing with the experimental data, it is found that the fitting is good, and the relative error is within ±15%.

     

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