[1]邱金友,盛健,吴志鸿.含油制冷剂R600a管内两相流动摩擦压降研究[J].福建工程学院学报,2019,17(01):17-22.[doi:10.3969/j.issn.1672-4348.2019.01.004]
　QIU Jinyou,SHENG Jian,WU Zhihong.A study on two-phase frictional pressure drop for R600a/oil mixture in tube[J].Journal of FuJian University of Technology,2019,17(01):17-22.[doi:10.3969/j.issn.1672-4348.2019.01.004]
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含油制冷剂R600a管内两相流动摩擦压降研究()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第17卷
期数:
2019年01期
页码:
17-22
栏目:
出版日期:
2019-02-25

文章信息/Info

Title:
A study on two-phase frictional pressure drop for R600a/oil mixture in tube
作者:
邱金友; 盛健; 吴志鸿
福建工程学院 建筑新能源与节能福建省高校重点实验室
Author(s):
QIU Jinyou;  SHENG Jian;  WU Zhihong
Fujian Provincial Key Laboratory of New Energy and Energy-saving for Building
关键词:
R600a/油混合物; 两相流动; 摩擦压降; 关联式
Keywords:
R600a/oil mixture;  two-phase flow;  frictional pressure drop;  correlation model
分类号:
TH12
DOI:
10.3969/j.issn.1672-4348.2019.01.004
文献标志码:
A
摘要:
基于文献含油制冷剂R600a两相流动摩擦压降实验数据，采用文献中6种关联式模型对含油制冷剂R600a两相摩擦压降的实验数据进行预测判断。结果表明：油影响因子模型Schlager关联式和Eckel关联式的预测值与实验值平均绝对偏差分别为27.3%和24.4%；混合物性的两相增强因子模型Zurcher关联式和Hu关联式的预测值与实验值的平均绝对偏差分别为33.8%和34.0%，上述关联式预测值普遍低于实验值。
Abstract:
Based on the experimental data of the two-phase flow frictional pressure drop of R600a and oil mixture,six correlation models mentioned in the literature were used to make predictions about the experimental data of the two-phase frictional pressure drop of R600a and oil mixture. Results show that as for the factor model of the oil’s impact, the average absolute deviation between the predicted value and the experimental value of the Schlager correlation model and that of the Eckel correlation model are 27.3% and 24.4% respectively. As for the two-phase enhancement factor model of the mixture’s properties, the average absolute deviation between the predicted value and the experimental value of the Zurcher correlation model and that of the Hu correlation model are 33.8% and 34.0% respectively. The above predictive values made with the correlation models are generally lower than the experimental data.

参考文献/References:

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更新日期/Last Update: 2019-02-25