东北电力大学能源与动力工程学院,吉林省 吉林市 132000
刘忠彦(1987—),男,博士,讲师,llzzyy198584@126.com
金旭(1977—),男,博士,副教授,jinxu7708@sina.com
收稿:2019-05-27,
修回:2019-09-04,
网络首发:2020-06-09,
纸质出版:2019-12-05
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刘忠彦, 逯玮, 金旭, 孙大汉, 张俊博, 王晨. CO2管内流动沸腾干涸特性研究[J]. 化工学报, 2019, 70(12): 4575-4581 DOI: 10.11949/0438-1157.20190574.
LIU Zhongyan, LU Wei, JIN Xu, SUN Dahan, ZHANG Junbo, WANG Chen. Study of dry-out characteristics of carbon dioxide during flow boiling in tube[J]. CIESC Journal, 2019, 70(12): 4575-4581
刘忠彦, 逯玮, 金旭, 孙大汉, 张俊博, 王晨. CO2管内流动沸腾干涸特性研究[J]. 化工学报, 2019, 70(12): 4575-4581 DOI: 10.11949/0438-1157.20190574. DOI:
LIU Zhongyan, LU Wei, JIN Xu, SUN Dahan, ZHANG Junbo, WANG Chen. Study of dry-out characteristics of carbon dioxide during flow boiling in tube[J]. CIESC Journal, 2019, 70(12): 4575-4581 DOI: 10.11949/0438-1157.20190574.
CO
2
被认为是一种理想的替代制冷剂,具有良好的环境特性和优良的热力学特性。与传统制冷剂相比,CO
2
有着十分不同的流动沸腾换热特性,过程会发生干涸将使其换热能力大幅下降。然而现有的干涸点预测公式都是基于各自的实验数据拟合得出,由于数据点太少和变量参数范围受限导致关联式的预测结果存在偏差。所以,通过对17篇文献中搜集的4986个实验数据点进行整理,分析得出质量流率、热通量、饱和温度和管径等影响因素对干涸点的影响趋势,并将数据点按大小压力分别拟合得出了干涸点的预测公式,有90%的数据点偏差小于15%,对干涸点预测,防止传热恶化有重要意义。
CO
2
is considered to be an ideal alternative refrigerant with good environmental properties and excellent thermodyn
amic properties. Compared with the traditional refrigerant
the flow boiling heat transfer characteristics of CO
2
is very different that the heat transfer deterioration and dry-out will make its capability of heat transfer decrease dramatically. It is of much concern to predict the dry-out point precisely when CO
2
flow boiling in tube. However
the existing dry-out point prediction formula fitted is mostly based on their own experimental data. The predicted results of the correlation are biased because of too few data and the limited range of variable parameters. Therefore
by organizing and analyzing 4986 experimental data points collected from 17 articles
the influence of several factors such as mass flow rate
heat flux
saturated temperature and pipe diameter on the dry-out point has been found. And a formula for predicting dry-out points is given by fitting the data points respectively according to the pressure
90% of the data points has a deviation of less than 15%. The prediction accuracy is greatly improved and it has a great agreement with experiment data. The formula is of great significance to the prediction of dry-out points and the prevention of heat transfer deterioration.
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