Experimental study of in-tube cooling heat transfer and pressure drop characteristics of R134a at supercritical pressures

被引:36
作者
Zhao, Chen-Ru [1 ]
Jiang, Pei-Xue [1 ]
机构
[1] Tsinghua Univ, Dept Thermal Engn, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100084, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
R134a; Supercritical pressures; Cooling; Heat transfer coefficient; Frictional pressure drop; CARBON-DIOXIDE; MIXED CONVECTION; LUBRICATING OIL; FLOW; CO2; CONDENSATION;
D O I
10.1016/j.expthermflusci.2011.04.017
中图分类号
O414.1 [热力学];
学科分类号
摘要
The in-tube cooling flow and heat transfer characteristics of R134a at supercritical pressures are measured experimentally for various pressures and mass fluxes in a horizontal tube. The tube is made of stainless steel with an inner diameter of 4.01 mm. Experiments are conducted for mass fluxes from 70 kg/m(2) s to 405 kg/m(2) s and pressures from 4.5 MPa to 5.5 MPa. The inlet refrigerant temperature is from 80 degrees C to 140 degrees C. The results show that the refrigerant temperature, the mass flux and the pressure all significantly affect the flow and heat transfer characteristics of R134a at supercritical pressures. The experimentally measured frictional pressure drop and heat transfer coefficient are compared with predicted results from several existing correlations. The comparisons show that the predicted frictional pressure drop using Petrov and Popov's correlation accounting for the density and viscosity variations agree well with the measured data. Gnielinski's correlation for the heat transfer coefficient agrees best with the measured data with deviations not exceeding 25%, while correlations based on supercritical CO2 heat transfer data overcorrect for the influence of the thermophysical property variations resulting in larger deviations. A new empirical correlation is developed based on the measured results by modifying Gnielinski's equation with thermophysical property terms including both the property variations from the inlet to the outlet of the entire test section and from the bulk to the wall. Most of the experimental data is predicted by the new correlation within a range of 15%. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:1293 / 1303
页数:11
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