Genetic Algorithm Applied to Geometric Optimization of Isothermal Y Shaped CavitiesSource: Journal of Electronic Packaging:;2014:;volume( 136 ):;issue: 003::page 31011Author:Lorenzini, Giulio
,
Biserni, Cesare
,
da Silva Diaz Estrada, Emanuel
,
Domingues Dos Santos, Elizaldo
,
Andrأ© Isoldi, Liأ©rcio
,
Oliveira Rocha, Luiz Alberto
DOI: 10.1115/1.4027421Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Constructal design associated with genetic algorithm (GA) is employed to optimize the geometry of an isothermal Yshaped cavity embedded into a solid conducting wall. The structure has four degrees of freedom (DOF). The main purpose is to minimize the maximum excess of temperature between the solid and the cavity by means of GA and exhaustive search (simulating every geometry combinations). Results showed that GA was well succeeded to find the best shapes which minimize the maximal excess of temperature with a number of simulations strongly lower than that required with exhaustive search, allowing the optimization of cavity under new constraint conditions.
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contributor author | Lorenzini, Giulio | |
contributor author | Biserni, Cesare | |
contributor author | da Silva Diaz Estrada, Emanuel | |
contributor author | Domingues Dos Santos, Elizaldo | |
contributor author | Andrأ© Isoldi, Liأ©rcio | |
contributor author | Oliveira Rocha, Luiz Alberto | |
date accessioned | 2017-05-09T01:06:50Z | |
date available | 2017-05-09T01:06:50Z | |
date issued | 2014 | |
identifier issn | 1528-9044 | |
identifier other | ep_136_03_031011.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/154483 | |
description abstract | Constructal design associated with genetic algorithm (GA) is employed to optimize the geometry of an isothermal Yshaped cavity embedded into a solid conducting wall. The structure has four degrees of freedom (DOF). The main purpose is to minimize the maximum excess of temperature between the solid and the cavity by means of GA and exhaustive search (simulating every geometry combinations). Results showed that GA was well succeeded to find the best shapes which minimize the maximal excess of temperature with a number of simulations strongly lower than that required with exhaustive search, allowing the optimization of cavity under new constraint conditions. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Genetic Algorithm Applied to Geometric Optimization of Isothermal Y Shaped Cavities | |
type | Journal Paper | |
journal volume | 136 | |
journal issue | 3 | |
journal title | Journal of Electronic Packaging | |
identifier doi | 10.1115/1.4027421 | |
journal fristpage | 31011 | |
journal lastpage | 31011 | |
identifier eissn | 1043-7398 | |
tree | Journal of Electronic Packaging:;2014:;volume( 136 ):;issue: 003 | |
contenttype | Fulltext |