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Mechanistic CHF model development for subcooled flow boiling in a vertical rectangular channel under low pressure

机译:低压下垂直矩形通道中旋转流动沸腾流动的机械CHF模型开发

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摘要

Research reactors are recommended to be designed with sufficient safety margin for critical heat flux (CHF) in both normal and transient operation, which requires the development of predictive CHF models for both subcooled and saturated flow boiling conditions. While models exist for saturated flow boiling conditions, to date, no mechanistic CHF approach has been developed for subcooled flow boiling in a rectangular channel. In this paper, a new mechanistic model is derived to predict the subcooled flow boiling CHF in a rectangular channel for turbulent upward flow under low pressure. The proposed model is characterized by its consideration of coalesced vapor clot growth due to bubble coalescence not only in the flow direction, but also in the radial direction. In addition, existing liquid sublayer thickness calculation methods were compared to account for the thinning of the liquid sublayer due to the vapor clot growth. The proposed model was verified with a dataset consisting of 126 data points covering the following operational ranges: pressure 1.01-1.13 bar, mass flux 853-15,120 kg/m~2s, exit quality -0.125 to -0.006, inlet subcooling 8-80 K, channel width 4-22 mm, channel gap 1-6.35 mm, heated length 50-305 mm, and turbulent upward flow. The developed model showed good prediction performance with a 32.47% RMS error, which is the lowest error compared to existing liquid sublayer dryout models developed for circular channels.
机译:建议在正常和瞬态操作中为临界热通量(CHF)提供足够的安全余量的研究,这需要开发用于中冷却和饱和流沸腾条件的预测性CHF模型。迄今为止,迄今为止,迄今为止,饱和流沸腾条件的模型,则没有为矩形通道中的过冷流量沸腾而开发了机械CHF方法。在本文中,推导出一种新的机制模型,以预测矩形通道中的脱池流沸腾CHF,以便在低压下湍流向上流动。所提出的模型的特征在于考虑到由于在流动方向上的气泡聚结而呈泡沫聚结的考虑,而且在径向方向上考虑。此外,比较现有的液体子层厚度计算方法,以解释由于蒸气凝块生长引起的液体子层的稀疏。拟议的模型是用DataSet验证的,该数据集由覆盖以下操作范围的126个数据点:压力1.01-1.13,质量磁通853-15,120 kg / m〜2s,出口质量-0.125至-0.006,入口过冷8-80k ,通道宽4-22毫米,通道间隙1-6.35 mm,加热长度50-305毫米,湍流向上流动。开发的模型显示出良好的预测性能,具有32.47%的RMS误差,与为圆通道开发的现有的液体子层干燥型号相比,误差是最低的误差。

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