Comparison between thermal resistances of optimized water-based and gallium-based heat sinks using the genetic algorithm
International Journal of Numerical Methods for Heat & Fluid Flow
ISSN: 0961-5539
Article publication date: 30 September 2019
Issue publication date: 2 March 2020
Abstract
Purpose
The purpose of this paper is to compare the thermal resistances between optimized gallium- and water-based heat sinks to show which one is superior.
Design/methodology/approach
Taking the thermal resistances of heat sinks as the goal function, an optimization process is programmed based on the genetic algorithm. The optimal channel/fin widths and the corresponding thermal resistances of gallium- and water-based heat sinks are obtained and compared with/without a laminar flow constraint. The analytic model and CFD method are applied in different situations to ensure sufficient accuracy.
Findings
The results show that in the laminar regime, the thermal resistance of optimized gallium-based heat sink is lower than the water-based counterpart in most cases, but the latter becomes better if it is long enough or the channel is sufficient high. Without the laminar constraint, the thermal resistance of the optimized gallium-based heat sink can be decreased by 33-45 per cent compared with the water-based counterparts. It is interesting to find that when the heat sink is long or the channel height is short, the optimal geometry of gallium-based heat sink is a mini gap.
Originality/value
This paper demonstrates that the cooling performance of gallium-based heat sink can be significantly improved by optimization without the laminar flow constraint.
Keywords
Acknowledgements
This work was supported by the Natural Science Foundation of China (Grant Number 51576084).
Citation
Xiang, X., Fan, Y., Liu, W. and Fan, A. (2020), "Comparison between thermal resistances of optimized water-based and gallium-based heat sinks using the genetic algorithm", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 3, pp. 1388-1406. https://doi.org/10.1108/HFF-07-2019-0590
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited