交混因子对CHF关系式开发及安全裕量影响研究

Influence of Mixing Factor on Safety Margin in CHF Correlation Development

  • 摘要: 采用最小偏离泡核沸腾比(MDNBR)点法开发了与子通道分析程序FLICA-ⅢF匹配的临界热流密度(CHF)关系式,利用Owen准则确定了其DNBR限值并进行统计评估。在掌握了一套完整的CHF关系式开发方法后,对比分析了不同交混因子其对应关系式的预测效果、DNBR限值以及实际最大功率。结果表明:基于实验获得的精确交混因子开发的CHF关系式具有更高的精确度与经济性。因此考虑格架交混效应的精细化子通道的工作是有价值和意义的。

     

    Abstract: In the development of critical heat flux (CHF) correlation, the mixing factor β (i.e., the turbulent thermal diffusivity) is a characteristic parameter representing the cross-mixing effect between sub-channels. At present, the mixing factor obtained through the cross-mixing experiment is essentially the macroscopic equivalent quantity of averaging the cross-mixing effect (such as turbulent cross-mixing, flow sweeping, etc.). In fact, the mixing effect caused by the grid will decrease along the downstream, which will lead to a certain deviation in the local parameters calculated by the average mixing factor. The influence of the deviation on the DNBR limit value of the CHF correlation and the safety margin is not clear. Thus, the CHF correlation matching with the sub-channel analysis program FLICA-ⅢF was developed by using the minimum DNBR point method. Owen criterion was used to determine the DNBR limit. After achieving the development methods of CHF correlation, the prediction effect, DNBR limits and actual maximum power of correlations of different mixing factors were compared and analyzed. The results indicate that in the range of experimental conditions, the local pressure of minimum DNBR point does not change with the change of mixing factor, the local mass flow rate increases with mixing factor, and the local quality decreases with the increase of mixing factor. The deviation of mixing factor will increase the DNBR limit of its correlation, but there is no linear relationship between the two. Besides, in actual conditions, the maximum power calculated by the correlations of different mixing factors is different. While the maximum power value of the precise mixing factor is also the largest. In conclusion, the more precise mixing factor determined by experiment has higher accuracy and economy in fitting correlation. Therefore, it is valuable and meaningful to consider the fine subchannel of grid mixing effect.

     

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