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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
King Mongkuts Univ Technol Thonburi KMUTT, Fac Engn, Dept Mech Engn, Fluid Mech Thermal Engn & Multiphase Flow Res Lab, Bangkok 10140, Thailand.
King Mongkuts Univ Technol Thonburi KMUTT, Fac Engn, Dept Mech Engn, Fluid Mech Thermal Engn & Multiphase Flow Res Lab, Bangkok 10140, Thailand.
King Mongkuts Univ Technol Thonburi KMUTT, Fac Engn, Dept Mech Engn, Fluid Mech Thermal Engn & Multiphase Flow Res Lab, Bangkok 10140, Thailand; Thaksin Univ, Fac Engn, Mech Engn Program, Khao Rup Chang, Thailand.
Yildiz Tech Univ, Dept Mech Engn, Istanbul, Turkey.ORCID iD: 0000-0002-5743-3937
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2022 (English)In: Alexandria Engineering Journal, ISSN 1110-0168, E-ISSN 2090-2670, Vol. 61, no 12, p. 10341-10358Article in journal (Refereed) Published
Abstract [en]

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 ( _m thorn , on heat transfer rate (Q(in)) and pressure drop. Five cylinder heater cartridges were used in the experiment for 11 different mass flow rates (0.008292 < m_ (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 (m_ = 0.03307 kg/s) and lowest (m_ = 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). 

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 61, no 12, p. 10341-10358
Keywords [en]
Heat sink, Constructal theory, Heat transfer, Numerical simulation, Optimization
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-72741DOI: 10.1016/j.aej.2022.03.018ISI: 000806178000008Scopus ID: 2-s2.0-85127815891OAI: oai:DiVA.org:mdh-72741DiVA, id: diva2:1983122
Available from: 2025-07-09 Created: 2025-07-09 Last updated: 2025-10-10Bibliographically approved

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Mesgarpour, Mehrdad

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