An experimental and numerical investigation of chevron fin structures in serpentine minichannel heat sinks

Al-Neama, Ahmed F. and Khatir, Zinedine and Kapur, Nikkil and Summers, Johnathan and Thompson, Harvey M. (2018) An experimental and numerical investigation of chevron fin structures in serpentine minichannel heat sinks. International Journal of Heat and Mass Transfer, 120 (May 18). pp. 1213-1228. ISSN 0017-9310

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Abstract

Water-cooled micro/minichannel heat sinks are an important component in managing the temperature of electronic components, particularly where high density of heat rejection is required. This study examines the potential to decrease the thermal resistance and enhance convective heat transfer of a serpentine heat exchanger by introducing chevron fins which create secondary flow paths. This novel design is found to significantly reduce both the pressure drop across the heat exchanger and the total thermal resistance by up to 60% and 10%, respectively, and enhance the average Nusselt number by 15%. A three-dimensional conjugate heat transfer model is developed and validated against experimental measurements, before being used to carry out a parametric study involving the chevron oblique angle, secondary channel width and heat flux. The design of the serpentine minichannel with chevron fins is then optimised in terms of the minichannel width, minichannel number and chevron oblique angle. A 50 point Optimal Latin Hypercubes Design of Experiment is constructed within the design variable space, using a permutation genetic algorithm, and accurate metamodels built using Radial Basis Functions. A Pareto front is constructed which enables designers to explore appropriate compromises between designs with low pressure drop and those with low thermal resistance.

Item Type: Article
Identification Number: https://doi.org/10.1016/j.ijheatmasstransfer.2017.12.092
Date: 4 January 2018
Uncontrolled Keywords: Serpentine microchannel heat sink, conjugate heat transfer, chevron fins, CFD, direct liquid cooling, Multi-objective genetic algorithm.
Subjects: F900 Others in Physical Sciences
H100 General Engineering
H300 Mechanical Engineering
Divisions: Faculty of Computing, Engineering and the Built Environment
Depositing User: Zinedine Khatir
Date Deposited: 28 May 2020 11:26
Last Modified: 28 May 2020 11:26
URI: http://www.open-access.bcu.ac.uk/id/eprint/9270

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