COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS
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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... Ver más
1794-1237
2463-0950
12
2016-02-25
151
166
Revista EIA - 2015
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
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COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS 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, 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. Cruz Duarte, Jorge Mario Amaya Contreras, Iván Mauricio Correa Cely, Carlos Rodrigo Entropy Generation Minimisation Global Optimization Algorithm Microchannel Heat Sink Optimal Design 12 24 Artículo de revista Journal article 2016-02-25 00:00:00 2016-02-25 00:00:00 2016-02-25 application/pdf Fondo Editorial EIA - Universidad EIA Revista EIA 1794-1237 2463-0950 https://revistas.eia.edu.co/index.php/reveia/article/view/880 10.24050/reia.v12i24.880 https://doi.org/10.24050/reia.v12i24.880 spa https://creativecommons.org/licenses/by-nc-nd/4.0 Revista EIA - 2015 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0. 151 166 https://revistas.eia.edu.co/index.php/reveia/article/download/880/785 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 http://purl.org/redcol/resource_type/ART info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
institution |
UNIVERSIDAD EIA |
thumbnail |
https://nuevo.metarevistas.org/UNIVERSIDADEIA/logo.png |
country_str |
Colombia |
collection |
Revista EIA |
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 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 |
title_eng |
COOLING MICROELECTRONIC DEVICES USING OPTIMAL MICROCHANNEL HEAT SINKS |
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.
|
author |
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 |
topicspa_str_mv |
Entropy Generation Minimisation Global Optimization Algorithm Microchannel Heat Sink Optimal Design |
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 |
citationvolume |
12 |
citationissue |
24 |
publisher |
Fondo Editorial EIA - Universidad EIA |
ispartofjournal |
Revista EIA |
source |
https://revistas.eia.edu.co/index.php/reveia/article/view/880 |
language |
spa |
format |
Article |
rights |
https://creativecommons.org/licenses/by-nc-nd/4.0 Revista EIA - 2015 Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
type_driver |
info:eu-repo/semantics/article |
type_coar |
http://purl.org/coar/resource_type/c_6501 |
type_version |
info:eu-repo/semantics/publishedVersion |
type_coarversion |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
type_content |
Text |
publishDate |
2016-02-25 |
date_accessioned |
2016-02-25 00:00:00 |
date_available |
2016-02-25 00:00:00 |
url |
https://revistas.eia.edu.co/index.php/reveia/article/view/880 |
url_doi |
https://doi.org/10.24050/reia.v12i24.880 |
issn |
1794-1237 |
eissn |
2463-0950 |
doi |
10.24050/reia.v12i24.880 |
citationstartpage |
151 |
citationendpage |
166 |
url2_str_mv |
https://revistas.eia.edu.co/index.php/reveia/article/download/880/785 |
_version_ |
1811200510801215488 |