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Novel design of a liquid-cooled heat sink for a high-performance processor based on constructal theory: A numerical and experimental approach
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Metadata
Document Title
Novel design of a liquid-cooled heat sink for a high-performance processor based on constructal theory: A numerical and experimental approach
Author
Sakamatapan K., Mesgarpour M., Mahian O., Wongwises S., Kaew-On J., Selim Dalkılıç A., Seon Ahn H.,
Name from Authors Collection
Scopus Author ID
25029928700
Scopus Author ID
24479329000
Scopus Author ID
26654087900
Affiliations
Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Lab. (FUTURE), Department of Mechanical Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Bangmod, 10140, Thailand; Mechanical Engineering Program, Faculty of Engineering, Thaksin University, Thailand; Department of Mechanical Engineering, Yildiz Technical University, Yildiz, Istanbul, Besiktas, Turkey; Department of Mechanical Engineering, Incheon National University, Incheon, South Korea; School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China; Department of Mechanical Engineering, Center for Nanotechnology in Renewable Energies, Ferdowsi University of Mashhad, Mashhad, Iran; National Science and Technology Development Agency (NSTDA), Pathum Thani, 12120, Thailand
Type
Article
Source Title
Alexandria Engineering Journal
ISSN
11100168
Year
2022
Volume
61
Issue
12
Page
10341
Open Access
Gold
Publisher
Elsevier B.V.
DOI
10.1016/j.aej.2022.03.018
Format
Abstract
This study presented a novel liquid-cooled heat sink based on constructal theory. An experiment was conducted to investigate the influence of boundary conditions, such as the mass flow rate (ṁ), on heat transfer rate (Qin) and pressure drop. Five cylinder heater cartridges were used in the experiment for 11 different mass flow rates (0.008292 < ṁ (kg/s) < 0.03307). Through numerical simulation, the effects of changing the number of clusters on heat transfer and pressure drop were studied. The results showed that the optimal combination of pressure drop and Nusselt number occurs in four clusters. According to the results, increasing the number of clusters can increase the Nusselt number by up to 11.98% and 13.62% for the highest (ṁ = 0.03307 kg/s) and lowest (ṁ = 0.008292 kg/s) mass flow rates, respectively. This work may lay the foundation for creating the next generation of thermal management systems for compact heat sources, such as the CPU in a self-driving car, robots and high-performance computers (HPC). © 2022 THE AUTHORS
Keyword
Constructal theory | Heat sink | Heat transfer | Numerical simulation | Optimization
Funding Sponsor
National Science and Technology Development Agency; National Research Council of Thailand; King Mongkut's University of Technology Thonburi; Thailand Science Research and Innovation
License
CC BY-NC-ND
Rights
Author
Publication Source
Scopus