2019
DOI: 10.1108/hff-07-2019-0590
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Comparison between thermal resistances of optimized water-based and gallium-based heat sinks using the genetic algorithm

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 … Show more

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Cited by 5 publications
(2 citation statements)
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“…Most often used model is the thermal resistance model due to its simple form and reliable outcomes as can be seen in the review by Adham et al 27) . And up to 2020, many studies involving MCHS research utilized the thermal resistance model 28,29,30) . The next commonly used model is the porous medium model 31) .…”
Section: Introductionmentioning
confidence: 99%
“…Most often used model is the thermal resistance model due to its simple form and reliable outcomes as can be seen in the review by Adham et al 27) . And up to 2020, many studies involving MCHS research utilized the thermal resistance model 28,29,30) . The next commonly used model is the porous medium model 31) .…”
Section: Introductionmentioning
confidence: 99%
“…Evolutionary algorithm, which was based on the evolutionary operation of nature, had been popularly applied in optimization of microchannels structure parameters. Xiang et al (Xiang et al, 2019) compared the thermal resistance between water-based and gallium-based heat sinks Thermal management of GaN HEMT devices using genetic algorithm and got the optimal channel/fin widths with/without laminar flow constraint. Xia et al (Xia et al, 2016) studied the thermal performance of different microchannels with arc-shaped grooves and ribs.…”
Section: Introductionmentioning
confidence: 99%