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高压矩形窄缝通道过冷沸腾传热系数预测模型研究

Research on Prediction Model of Subcooled Boiling Heat Transfer Coefficient in Narrow Rectangular Channel under High Pressure
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摘要 为了有效预测高压条件下矩形窄缝通道内的过冷沸腾传热系数,基于试验数据对现有传热模型进行了评估,分析影响其预测效果的原因。通过对实验数据进行线性回归分析,提出一个区分高低过冷度区间的壁面过热度模型。该模型的适用范围包括:压力p为10~16 MPa,质量流速G为500~1500 kg/(m^(2)·s),热流密度q为100~300 kW/m^(2),流体过冷度Δtsub为0~37℃。研究结果表明:充分发展沸腾的壁面过热度模型与本文的传热系数吻合较好,但大部分预测关联式会低估高压时的传热系数,同时在接近饱和点的低过冷区域,预测偏差也较大;强化类型传热关联式的预测效果不佳,影响预测偏差的主要因素为应用工况和通道条件。 To effectively predict the heat transfer coefficient of subcooled boiling in narrow rectangular channels under high pressure,the existing heat transfer models were evaluated based on experimental data,analyzing the reasons that affected the prediction effect.By conducting linear regression analysis on the experimental data,a wall superheat model that distinguished between high and low subcooling ranges was proposed.The model can be used under the following conditions:pressure p of 10 to 16 MPa,mass flux G of 500 to 1500 kg/(m^(2)·s),heat flux q of 100 to 300 kW/m^(2),and subcooled temperatureΔTsub of 0 to 37℃.The results show that the wall superheat models for fully developed boiling are in accordance with the heat transfer coefficient of this study,while most predictive correlations underestimate the heat transfer coefficient at high pressure.Besides,there is also a large prediction deviation in the low subcooling region near the saturation point;the prediction effects of enhanced heat transfer correlations are not satisfactory,and the main factors affecting prediction deviation are operating conditions and channel geometries.
作者 刘璐 陈梦淑 王腾 毕勤成 LIU lu;CHEN Mengshu;WANG Teng;BI Qincheng(Department of Power Engineering,North China Electric Power University,Baoding,China,071003;State Key Laboratory of Multiphase Flow in Power Engineering,Xi′an Jiaotong University,Xi′an,China,710049)
出处 《热能动力工程》 CAS CSCD 北大核心 2024年第6期89-97,共9页 Journal of Engineering for Thermal Energy and Power
基金 中央高校基本科研业务费专项资金项目(2023MS118)。
关键词 矩形窄缝通道 过冷沸腾 传热系数 预测模型 narrow rectangular channel subcooled boiling heat transfer coefficient prediction model
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