Evaluation of thermal-hydraulic performance of hydrocarbon refrigerants during flow boiling in a microchannels array heat sink

被引:26
作者
Chavez, Cristian A. [1 ]
Leao, Hugo L. S. L. [1 ,2 ]
Ribatski, Gherhardt [1 ]
机构
[1] Univ Sao Paulo, EESC, Dept Mech Engn, Heat Transfer Res Grp, Sao Carlos, SP, Brazil
[2] Inst Fed Goiano, Campus Rio Verde, Rio Verde, Brazil
基金
巴西圣保罗研究基金会;
关键词
Hydrocarbons; Flow boiling; Heat transfer; Pressure drop; Microchannels; Heat sink; SILICON MULTI-MICROCHANNELS; FRICTIONAL PRESSURE-DROP; 2-PHASE FLOW; MICROSCALE CHANNELS; PARALLEL MICROCHANNELS; TRANSFER COEFFICIENT; GENERAL CORRELATION; UNIVERSAL APPROACH; VAPOR QUALITY; PART I;
D O I
10.1016/j.applthermaleng.2016.09.109
中图分类号
O414.1 [热力学];
学科分类号
摘要
The present study concerns an experimental evaluation of the performance of hydrocarbon refrigerants during flow boiling in a microchannels array heat sink. The heat sink is composed of fifty channels with cross sectional areas of 123 x 494 mu m(2) and length of 15 mm manufactured in a copper block. Heat transfer coefficient and pressure drop data were obtained for refrigerants R600a, R290 and R1270, mass velocities from 165 to 823 kg/m(2) s, heat fluxes up to 400 kW/m(2), liquid subcooling at the inlet of the test section of 5, 10 and 15 degrees C and saturation temperature of 25 degrees C. The data were compared with experimental results obtained in a previous study for R134a and predictions by methods from literature. In general, R290 presented the best performance, providing the highest average heat transfer coefficient and a pressure drop only slightly higher than R1270 that was the fluid presenting the lowest pressure drop. An exergy analysis also revealed the refrigerant 8290 as the one presenting the best performance. However, R290 needed the highest excess of superheating to trigger the boiling process (ONB). The methods from literature evaluated in the present study poorly predicted the experimental data for two-phase pressure drop. On the other hand, the method of Kanizawa et al. (2016) was quite accurate in predicting the heat transfer results. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:703 / 717
页数:15
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