Prediction of forced convective heat transfer and critical heat flux for subcooled water flowing in miniature tubes
Prediction of forced convective heat transfer and critical heat flux for subcooled water flowing in miniature tubes
复制标题
微型管内过冷水流的强制对流换热和临界热通量预测
DOI：
10.1007/s00231-017-2155-8
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发表时间：
2018
影响因子：
2.2
通讯作者：
Koichi Hata
中科院分区：
文献类型：
--
作者：
Makoto Shibahara;Katsuya Fukuda;Qiusheng Liu;Koichi Hata
采用商用计算流体力学（CFD）程序PHENICS ver. 2013.分析模型由铂管（加热部分）和不锈钢管（非加热部分）组成。由于铂管在以往的实验中是用直流电加热的，所以在数值模拟中给出了一个指数函数的均匀热流作为边界条件。考虑两种管的内径：1.0和2.0 mm。上升流速为2 ~ 16 m/s，入口温度为298 ~ 343 K。计算结果表明，在各个热流密度下，表面温度与体相温度的差值与实验数据吻合较好。数值模型扩展到液体亚层分析CHF预测，并通过比较其结果与实验数据进行评估。假设当加热壁附近的流体温度超过饱和温度时，CHF发生，基于Celata等人的“的过热层蒸汽补充（SLVR）模型。所提出的预测方法与实验数据和文献中的CHF数据在± 25%范围内吻合良好。
The heat transfer characteristics of forced convection for subcooled water in small tubes were clarified using the commercial computational fluid dynamic (CFD) code, PHENICS ver. 2013. The analytical model consists of a platinum tube (the heated section) and a stainless tube (the non-heated section). Since the platinum tube was heated by direct current in the authors’ previous experiments, a uniform heat flux with the exponential function was given as a boundary condition in the numerical simulation. Two inner diameters of the tubes were considered: 1.0 and 2.0 mm. The upward flow velocities ranged from 2 to 16 m/s and the inlet temperature ranged from 298 to 343 K. The numerical results showed that the difference between the surface temperature and the bulk temperature was in good agreement with the experimental data at each heat flux. The numerical model was extended to the liquid sublayer analysis for the CHF prediction and was evaluated by comparing its results with the experimental data. It was postulated that the CHF occurs when the fluid temperature near the heated wall exceeds the saturated temperature, based on Celata et al.’s superheated layer vapor replenishment (SLVR) model. The suggested prediction method was in good agreement with the experimental data and with other CHF data in literature within ±25%.