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COMSOL® and MATLAB® Integration to Optimize Heat Exchangers Using Genetic Algorithms Technique
Published in 2008
Genetic Algorithms (GA) have proved to be a complete and effective approach for solving optimization problems. This article presents the integration between COMSOL® and a GA optimization tool coded in MATLAB® for the optimization of two thermal systems: a constant area fin in 2D and a concentric heat exchanger in 2D.
Analysis permitted us to achieve efficiencies of up to 90%. For the heat exchanger, we could maximize heat flux obtaining different geometric dimension with good results.
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