Review of heat transfer enhancement techniques for single phase flows

被引:200
作者
Mousa, Mohamed H. [1 ]
Miljkovic, Nenad [1 ,3 ,4 ,5 ]
Nawaz, Kashif [2 ]
机构
[1] Univ Illinois, Dept Mech Sci & Engn, 1206 W Green St, Urbana, IL 61801 USA
[2] Oak Ridge Natl Lab, Oak Ridge, TN USA
[3] Univ Illinois, Dept Elect & Comp Engn, 1206 W Green St, Urbana, IL 61801 USA
[4] Univ Illinois, Mat Res Lab, Urbana, IL 61801 USA
[5] Kyushu Univ, Int Inst Carbon Neutral Energy Res WPI I2CNER, Nishi Ku, 744 Motooka, Fukuoka 8190395, Japan
基金
美国国家科学基金会;
关键词
Heat transfer augmentation; Swirl flow; Pressure drop; Passive heat transfer; Active heat transfer; Nusselt number; Friction factor; Twisted tape; Insert; Internal flow; Boundary layer;
D O I
10.1016/j.rser.2020.110566
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The thermal energy exchange between a flowing fluid and its confining channel is a ubiquitous process in modern society. To enhance the fluid-to-wall or wall-to-fluid heat transfer, several techniques have been developed to maximize the contact area between the fluid and the inner wall and/or disrupt the flow to enhance circulation or induce turbulence. Deployment of channels having features capable of enhancing heat transfer enables the reduction of heat exchanger size while maintaining performance. Reduction in equipment size is critical due to the ability to minimize the required volume of costly working fluids and to mitigate potential safety concerns associated with total system fluid volume. Here, a comprehensive review of single-phase heat transfer enhancement techniques is presented. The article provides a thorough comparison by analyzing the heat transfer rate, pressure drop, and other operational aspects. Single-phase heat transfer enhancement methods are divided into active and passive techniques. Active methods such as electrohydrodynamic (EHD), magnetohydrodynamics (MHD), or mechanical motion require external power to create enhancement. Passive methods such as dimples, fins, or tape inserts do not require external input and rely only on surface modification. Although active methods are more expensive and difficult to implement compared to passive techniques, it enables active control of heat transfer augmentation. This review develops and summarizes key learning data for design optimization enabled by additive manufacturing and machine learning algorithms, helping to inform these next-generation heat exchanger design methodologies for a plethora of modern applications such as electrification of vehicles, computing, and classical industries.
引用
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页数:23
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