A parametric investigation of heat transfer and friction characteristics in cylindrical oblique fin minichannel heat sink

被引:32
|
作者
Fan, Yan [1 ,3 ]
Lee, Poh Seng [1 ]
Jin, Li-Wen [1 ,2 ]
Chua, Beng Wah [3 ]
Zhang, Ding-Cai [1 ]
机构
[1] Natl Univ Singapore, Dept Mech Engn, Singapore 117576, Singapore
[2] Xi An Jiao Tong Univ, Dept Architecture Environm & Equipment Engn, Xian 710049, Shaanxi, Peoples R China
[3] Singapore Inst Mfg Technol, Forming Technol Grp, Singapore 638075, Singapore
关键词
Cylindrical oblique fin minichannel; Heat transfer; Apparent friction characteristics; Oblique angle; Secondary channel gap; Multiple correlation; OPTIMIZATION; PERFORMANCE; EXCHANGERS; FLOW;
D O I
10.1016/j.ijheatmasstransfer.2013.09.027
中图分类号
O414.1 [热力学];
学科分类号
摘要
A novel cylindrical oblique fin minichannel heat sink was proposed and studied for cooling heat source with cylindrical surfaces. To optimize and analyze the heat transfer performance of the heat sink, a similarity analysis and parametric study on the geometric dimensions of the heat sink were performed. Three dimensional conjugated heat transfer simulation using CFD (Computational Fluid Dynamics) approach was used to analyze the laminar convective heat transfer and apparent friction characteristics for 43 different cylindrical heat sinks with varied geometric dimensions. The studies were performed by varying the oblique angle from 20 degrees to 45 degrees, secondary channel gap from 1 mm to 5 mm and Reynolds number from 200 to 900. In this paper, the flow distribution was also investigated and reported, as the secondary channel gap, oblique angle and Reynolds number were varied. Based on the 259 numerical data points, multiple correlations for the average Nusselt number and the apparent friction constant were formulated, verified and presented. The average deviation for the approximation of average Nusselt number is from -5.8% to 7.0% while it is from -5.1% to 7.1% for the apparent friction constant. These correlations can be used for further studies such as performance prediction or geometrical optimization. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:567 / 584
页数:18
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