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Experimental and computational investigation on two-phase flow and heat transfer of highly subcooled flow boiling in vertical upflow

机译:垂直上升流中高过冷流沸腾的两相流和传热的实验和计算研究

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This study explores subcooled nucleate flow boiling of FC-72 in a rectangular channel having two opposite heating walls at different mass velocities and wall heat fluxes ranging from 42% to 45% of CHF. Experiments are performed in which constant and equal heat fluxes are supplied from the heating walls, with local wall temperatures measured at several axial locations and used to determine axial variations of local heat transfer coefficient. Additionally, detailed information on flow pattern and phase distribution is captured by high-speed video through the channel's transparent sidewalls. Experimental values for key fluid flow and thermal parameters are compared to predictions of 2D computational simulations using ANSYS FLUENT. The computations are based on the multi-phase volume of fluid (VOF) model combined with an appropriate phase change model, and account for conjugate heat transfer along the heating walls. Computed transverse profiles and stream-wise variations of void fraction, flow velocity, and wall temperature are examined. The computed results show reasonable agreement with experimentally captured interfacial behavior as well as heat transfer parameters. Computed cross-sectional temperature profiles for the mixture show non-equilibrium subcooled boiling with steep temperature gradients near the heating walls and low temperature liquid in the core region. This study is concluded by exploring limitations of the 2D model used. (C) 2019 Elsevier Ltd. All rights reserved.
机译:这项研究探索了FC-72在具有两个相对的加热壁的矩形通道中以不同的质量速度和壁热通量为CHF的42%至45%的过冷核流沸腾。进行实验,其中从加热壁提供恒定且相等的热通量,在几个轴向位置测量局部壁温,并用于确定局部传热系数的轴向变化。此外,通过通道的透明侧壁的高速视频可捕获有关流型和相位分布的详细信息。使用ANSYS FLUENT将关键流体流量和热参数的实验值与2D计算仿真的预测值进行比较。该计算基于流体的多相体积(VOF)模型以及适当的相变模型,并考虑了沿加热壁的共轭传热。检查了计算出的横向剖面以及空隙率,流速和壁温的沿流向变化。计算结果表明与实验捕获的界面行为以及传热参数具有合理的一致性。计算出的混合物的截面温度分布图显示了非平衡过冷沸腾,在加热壁附近有陡峭的温度梯度,在核心区域有低温液体。通过探索所用2D模型的局限性来结束本研究。 (C)2019 Elsevier Ltd.保留所有权利。

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