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In this paper, genetic algorithms (GAs) are applied for the optimization of pin-fin heat sinks. GAs are usually considered as a computational method to obtain optimal solution in a very large solution space. Entropy generation rate due to heat transfer and pressure drop across pin-fins is minimized by using GAs. Analytical/empirical correlations for heat transfer coefficients and friction factors...
In this study, an entropy generation minimization (EGM) procedure is employed to optimize the overall performance of microchannel heat sinks. This allows the combined effects of thermal resistance and pressure drop to be assessed simultaneously as the heat sink interacts with the surrounding flow field. New general expressions for the entropy generation rate are developed by considering an appropriate...
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