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• W2334681783 startingPage "1052" @default.
• W2334681783 abstract "This article presents an alternative approach for the design of a heat sink as a solution of the thermal management problem in microelectronic components. The design was carried out based on the entropy generation minimisation criterion and it was optimised through three different non-conventional methods, such as: Unified Particle Swarm Optimisation, Spiral Optimisation and Cuckoo Search. A rectangular microchannel heat sink manufactured from a High Thermal Conductive Graphite was considered and a colloid of H2O–TiO2 was used as working fluid. The performance of this nanofluid was compared against traditional fluids like air and ammonia gas. Also, nanoparticles were considered and studied at different volume fractions. Moreover, the performance solving the thermal problem was compared for the implemented global optimisation techniques. It was noticed that nanofluids represent a good alternative for designs with lower volume flow rates, requiring a lower nanoparticle volume fraction. Furthermore, the Cuckoo Search algorithm was more accurate and faster than the other two methods." @default.
• W2334681783 created "2016-06-24" @default.
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• W2334681783 date "2016-05-01" @default.
• W2334681783 modified "2023-10-18" @default.
• W2334681783 title "Designing a microchannel heat sink with colloidal coolants through the entropy generation minimisation criterion and global optimisation algorithms" @default.
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• W2334681783 doi "https://doi.org/10.1016/j.applthermaleng.2016.02.109" @default.
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