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首页> 外文期刊>International Journal of Heat and Mass Transfer >A new heat transfer model for flow boiling of refrigerants in micro-fin tubes
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A new heat transfer model for flow boiling of refrigerants in micro-fin tubes

机译:微翅片管中制冷剂流动沸腾的新传热模型

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摘要

Experimental data points of heat transfer coefficient during flow boiling of refrigerants in horizontal micro-fin tubes were collected from literature and our previous experimental work to develop a new general heat transfer model. The database contains 2221 data points covering nine refrigerants, and the involved operation conditions are as follows: mass velocity 47-835 kg m(-2) s, vapor quality 0.05-0.98, heat flux 3.9-85.2 kW m(-2), and fin-root diameter 2.64-11.98 mm. Six existing general heat transfer correlations for micro-fin tubes were evaluated using the present database. It was found that these correlations were incapable of providing a satisfactory prediction. Among them, the correlation proposed by Mehendale shows the best predictive ability, predicting 70.3% and 91.3% of the database within +/- 30% and +/- 50% error bands, respectively. Then a new model based on the present database was generalized by modifying Cavallini et al. correlation, and a good agreement between the new model and the database was obtained. The new model can predict 82.1% of data points within +/- 30% error bands with a mean absolute deviation of 18.6%, and its parametric-trend predictive ability under varied operating conditions was also verified using several datasets. (C) 2018 Elsevier Ltd. All rights reserved.
机译:从文献中收集了水平微翅片管内制冷剂流动沸腾过程中传热系数的实验数据点,并结合我们先前的实验工作来开发新的通用传热模型。该数据库包含22个涵盖9种制冷剂的数据点,涉及的操作条件如下:质量速度47-835 kg m(-2)s,蒸气质量0.05-0.98,热通量3.9-85.2 kW m(-2),鳍根直径2.64-11.98毫米。使用本数据库评估了微翅片管的六个现有的一般传热相关性。发现这些相关性不能提供令人满意的预测。其中,Mehendale提出的相关性显示出最佳的预测能力,分别在+/- 30%和+/- 50%误差带内预测数据库的70.3%和91.3%。然后,通过修改Cavallini等人,推广了基于当前数据库的新模型。相关性,并获得了新模型与数据库之间的良好协议。新模型可以预测+/- 30%误差带内的82.1%数据点,平均绝对偏差为18.6%,并且还使用多个数据集验证了其在各种操作条件下的参数趋势预测能力。 (C)2018 Elsevier Ltd.保留所有权利。

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