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Multi-objective genetic optimization of the heat transfer for tube inserted with porous media
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文摘

Geometry and property parameters of porous are simultaneously optimized.

CFD and multi-objective genetic algorithm are coupled to obtain the solutions.

Penalty function is utilized to restrain the flow resistance.

TOPSIS technique is employed to determine the best alternative from Pareto front.

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