Multi-objective shape optimization of a heat exchanger using parallel genetic algorithms

We perform in this paper a multi-objective design optimization concerning the blade shape of a heat exchanger, considering the coupled solution of the flow/heat transfer processes. For this, a genetic algorithm is used. The aim of the procedure is to find the geometry most favorable to simultaneousl...

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Vydáno v:International journal of heat and mass transfer Ročník 49; číslo 15; s. 2567 - 2577
Hlavní autoři: Hilbert, Renan, Janiga, Gábor, Baron, Romain, Thévenin, Dominique
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.07.2006
Témata:
Heat exchangers
Laminar
Optimization
Optimization
Heat exchangers
Laminar
ISSN:0017-9310, 1879-2189
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Shrnutí:We perform in this paper a multi-objective design optimization concerning the blade shape of a heat exchanger, considering the coupled solution of the flow/heat transfer processes. For this, a genetic algorithm is used. The aim of the procedure is to find the geometry most favorable to simultaneously maximize heat exchange while obtaining a minimum pressure loss. An in-house computer package, called OPAL, performs the optimization process in a fully automatic manner. It calls the pre-processor to generate the computational geometry as well as the mesh, it then performs the numerical simulation of the coupled fluid flow/heat transfer problem using Fluent, calculates the output parameters, and iterates the procedure. The genetic algorithm relies on a relatively large number of simulations, which may result in a considerable computational effort, depending on the configuration. The procedure can thus be performed in parallel on a Linux PC cluster to reduce user waiting time. A nearly optimal speed-up is obtained for the present configuration.
Bibliografie:ObjectType-Article-2
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ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2005.12.015