COMSOL® and MATLAB® Integration to Optimize Heat Exchangers Using Genetic Algorithms Technique

J. Muñoz[1], R. Valencia[2], and C. Nieto [3]
[1] Semillero Termodinámica y Fluidos, Universidad Pontificia Bolivariana, Medellin, Antioquia, Colombia
[2] Grupo Automática y Diseño
[3] Instituto de Energía y Termodinámica, Mechanical Engineering Faculty, Universidad Pontificia Bolivariana, Medellin, Antioquia, Colombia

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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