Sadiq Al-Baghdadi, MAR, Noor, ZMH, Zeiny, A et al. (2 more authors) (2020) CFD analysis of a nanofluid-based microchannel heat sink. Thermal Science and Engineering Progress, 20. 100685. ISSN 2451-9049
Abstract
Effective thermal management is a key for the continuous development of electronics, which are characteristics of modern life. It has a great effect on the lifetime, durability and reliability of these systems. A liquid-cooled microchannel heat sink is a compacted cooling part that used to provide better heat dissipation rates and low temperatures in electronic components. Nanofluids have been introduced as effective coolants to be employed in this type of heat sink to increase the heat dissipation rate. However, a comparative assessment of the thermal performance between commonly used nanofluids and water as coolants for microchannel heat sinks is still lacking. For this purpose, a computational fluid dynamics (CFD), non-isothermal, three-dimensional detailed model has been developed to simulate and analyze the fluid flow and heat transfer physiognomies. The results show that examining performance parameters as functions of Reynolds number is misleading since the thermophysical properties are different among each coolant, and that employing nanofluids in a microchannel heat sink is impractical as water is cheaper and safer.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020, Elsevier. All rights reserved. This is an author produced version of an article published in Thermal Science and Engineering Progress. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | MEMS; Microchannel heat sink; CFD; Nanofluids; Electronics cooling; Heat transfer |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 Dec 2020 12:34 |
Last Modified: | 14 Aug 2021 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tsep.2020.100685 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169101 |
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