COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS
This article deals with the design of optimum microchannel heat sinks through Unified Particle Swarm Optimisation (UPSO) and Harmony Search (HS). These heat sinks are used for the thermal management of electronic devices, and we analyse the performance of UPSO and HS in their design, both, systemati...
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Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo 2016-02-25 00:00:00 2022-06-17T20:19:03Z 2016-02-25 00:00:00 2022-06-17T20:19:03Z 2016-02-25 1794-1237 https://repository.eia.edu.co/handle/11190/4964 10.24050/reia.v12i24.880 2463-0950 https://doi.org/10.24050/reia.v12i24.880 This article deals with the design of optimum microchannel heat sinks through Unified Particle Swarm Optimisation (UPSO) and Harmony Search (HS). These heat sinks are used for the thermal management of electronic devices, and we analyse the performance of UPSO and HS in their design, both, systematically and thoroughly. The objective function was created using the entropy generation minimisation criterion. In this study, we fixed the geometry of the microchannel, the amount of heat to be removed, and the properties of the cooling fluid. Moreover, we calculated the entropy generation rate, the volume flow rate of air, the channel width, the channel height, and the Knudsen number. The results of several simulation optimizations indicate that both global optimisation strategies yielded similar results, about 0.032 W/K, and that HS required five times more iterations than UPSO, but only about a nineteenth of its computation time. In addition, HS revealed a greater chance (about three times) of finding a better solution than UPSO, but with a higher dispersion rate (about five times). Nonetheless, both algorithms successfully optimised the design for different scenarios, even when varying the material of the heat sink, and for different heat transfer rates. This article deals with the design of optimum microchannel heat sinks through Unified Particle Swarm Optimisation (UPSO) and Harmony Search (HS). These heat sinks are used for the thermal management of electronic devices, and we analyse the performance of UPSO and HS in their design, both, systematically and thoroughly. The objective function was created using the entropy generation minimisation criterion. In this study, we fixed the geometry of the microchannel, the amount of heat to be removed, and the properties of the cooling fluid. Moreover, we calculated the entropy generation rate, the volume flow rate of air, the channel width, the channel height, and the Knudsen number. The results of several simulation optimizations indicate that both global optimisation strategies yielded similar results, about 0.032 W/K, and that HS required five times more iterations than UPSO, but only about a nineteenth of its computation time. In addition, HS revealed a greater chance (about three times) of finding a better solution than UPSO, but with a higher dispersion rate (about five times). Nonetheless, both algorithms successfully optimised the design for different scenarios, even when varying the material of the heat sink, and for different heat transfer rates. application/pdf spa Fondo Editorial EIA - Universidad EIA Revista EIA - 2015 https://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0. http://purl.org/coar/access_right/c_abf2 https://revistas.eia.edu.co/index.php/reveia/article/view/880 Entropy Generation Minimisation Global Optimization Algorithm Microchannel Heat Sink Optimal Design COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS Artículo de revista Journal article http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Text http://purl.org/redcol/resource_type/ARTREF http://purl.org/coar/version/c_970fb48d4fbd8a85 https://revistas.eia.edu.co/index.php/reveia/article/download/880/785 Núm. 24 , Año 2015 166 24 151 12 Revista EIA Publication |
| institution |
Universidad EIA |
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d_repository.eia.edu.co-DSPACE |
| title |
COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS |
| spellingShingle |
COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo Entropy Generation Minimisation Global Optimization Algorithm Microchannel Heat Sink Optimal Design |
| title_short |
COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS |
| title_full |
COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS |
| title_fullStr |
COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS |
| title_full_unstemmed |
COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS |
| title_sort |
cooling microelectronic devices using optimal microchannel heat sinks |
| author |
Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo |
| author_facet |
Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo |
| building |
Repositorio digital |
| topic |
Entropy Generation Minimisation Global Optimization Algorithm Microchannel Heat Sink Optimal Design |
| topic_facet |
Entropy Generation Minimisation Global Optimization Algorithm Microchannel Heat Sink Optimal Design |
| publishDate |
2016-02-25 |
| language |
Español |
| publisher |
Fondo Editorial EIA - Universidad EIA |
| format |
Artículo de revista |
| description |
This article deals with the design of optimum microchannel heat sinks through Unified Particle Swarm Optimisation (UPSO) and Harmony Search (HS). These heat sinks are used for the thermal management of electronic devices, and we analyse the performance of UPSO and HS in their design, both, systematically and thoroughly. The objective function was created using the entropy generation minimisation criterion. In this study, we fixed the geometry of the microchannel, the amount of heat to be removed, and the properties of the cooling fluid. Moreover, we calculated the entropy generation rate, the volume flow rate of air, the channel width, the channel height, and the Knudsen number. The results of several simulation optimizations indicate that both global optimisation strategies yielded similar results, about 0.032 W/K, and that HS required five times more iterations than UPSO, but only about a nineteenth of its computation time. In addition, HS revealed a greater chance (about three times) of finding a better solution than UPSO, but with a higher dispersion rate (about five times). Nonetheless, both algorithms successfully optimised the design for different scenarios, even when varying the material of the heat sink, and for different heat transfer rates.
This article deals with the design of optimum microchannel heat sinks through Unified Particle Swarm Optimisation (UPSO) and Harmony Search (HS). These heat sinks are used for the thermal management of electronic devices, and we analyse the performance of UPSO and HS in their design, both, systematically and thoroughly. The objective function was created using the entropy generation minimisation criterion. In this study, we fixed the geometry of the microchannel, the amount of heat to be removed, and the properties of the cooling fluid. Moreover, we calculated the entropy generation rate, the volume flow rate of air, the channel width, the channel height, and the Knudsen number. The results of several simulation optimizations indicate that both global optimisation strategies yielded similar results, about 0.032 W/K, and that HS required five times more iterations than UPSO, but only about a nineteenth of its computation time. In addition, HS revealed a greater chance (about three times) of finding a better solution than UPSO, but with a higher dispersion rate (about five times). Nonetheless, both algorithms successfully optimised the design for different scenarios, even when varying the material of the heat sink, and for different heat transfer rates.
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| issn |
1794-1237 |
| url |
https://repository.eia.edu.co/handle/11190/4964 |
| url_str_mv |
https://repository.eia.edu.co/handle/11190/4964 |
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1776818842550403072 |
| score |
11.259125 |
