Enhancement of the performance of a double layered microchannel heatsink using PCM slurry and nanofluid coolants

冷却液 努塞尔数 散热片 纳米流体 材料科学 微通道 传热 机械 压力降 散热器(发动机冷却) 热导率 热力学 机械工程 核工程 雷诺数 复合材料 工程类 物理 纳米技术 湍流
作者
Bahram Rajabifar
出处
期刊:International Journal of Heat and Mass Transfer [Elsevier BV]
卷期号:88: 627-635 被引量:77
标识
DOI:10.1016/j.ijheatmasstransfer.2015.05.007
摘要

Advanced coolants such as nanofluids or PCM slurries are realized and reported as effective substitutions for conventional coolants in order to enhance the cooling performance of microchannel heatsinks. However, there are a number of disadvantages associated with using these advanced coolants that are always considered as their inevitable downsides including the increase of the needed pumping power of the system for both of the mentioned coolants and decrease of the fluid average thermal conductivity for PCM slurries. In this paper, a 3D conjugated heat transfer model of a double layer microchannel heatsink (MCHS) to investigate its thermal performance is presented and the effectiveness of simultaneous employing of both of these types of advanced coolants in a heatsink is assessed. Finite volume method (FVM) is used to solve the flow and heat governing equations simultaneously and the obtained results are validated with the experimental data. The assessed parameters in this study are: coolant type, coolant configurations, particle concentration, bottom surface temperature, and inlet fluid velocity. In order to investigate the flow and cooling efficiency of the heatsink, two dimensionless parameter, Nusselt and Euler numbers, are computed and compared between the considered configurations. The goal is to balance and optimize the desirable cooling enhancement that is obtained by using advanced coolants and is represented by associated Nusselt number from one side, and undesirable increase of the needed pumping power which is implied by relevant Euler number, from the other side. Results showed that using the proposed configurations, the cooling performance of the systems are enhanced and the disadvantages associated with advanced coolant are relieved, substantially.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
007发布了新的文献求助10
2秒前
DONGLK发布了新的文献求助30
2秒前
ggg完成签到,获得积分20
3秒前
梧桐完成签到,获得积分10
3秒前
敬业乐群完成签到,获得积分10
4秒前
Vincy发布了新的文献求助10
5秒前
隐形曼青应助加油采纳,获得10
6秒前
稳重的秋天完成签到,获得积分10
7秒前
PDL_发布了新的文献求助10
7秒前
谨慎的怀寒完成签到 ,获得积分10
7秒前
897102完成签到,获得积分10
8秒前
9秒前
Jeremy完成签到,获得积分10
11秒前
11秒前
mmm发布了新的文献求助10
14秒前
YOYO12完成签到,获得积分10
15秒前
九点半上课了完成签到,获得积分10
15秒前
上冬完成签到,获得积分20
16秒前
xuan发布了新的文献求助10
17秒前
无奈世立完成签到 ,获得积分10
17秒前
Realistic完成签到,获得积分10
18秒前
19秒前
20秒前
张欢馨应助沐风采纳,获得10
20秒前
21秒前
21秒前
21秒前
Arslan完成签到,获得积分20
22秒前
班班发布了新的文献求助10
26秒前
makq发布了新的文献求助10
26秒前
JamesPei应助怕黑秋莲采纳,获得10
26秒前
27秒前
迷你的酒窝完成签到 ,获得积分10
28秒前
上冬关注了科研通微信公众号
28秒前
三席完成签到 ,获得积分10
30秒前
我是老大应助xuan采纳,获得10
31秒前
32秒前
共享精神应助czq采纳,获得10
32秒前
科研通AI2S应助典雅冬寒采纳,获得10
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356379
求助须知:如何正确求助?哪些是违规求助? 8171234
关于积分的说明 17203575
捐赠科研通 5412276
什么是DOI,文献DOI怎么找? 2864564
邀请新用户注册赠送积分活动 1842098
关于科研通互助平台的介绍 1690360