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Title
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GMDH-type neural network modeling and genetic algorithm-based multi-objective optimization of thermal and friction characteristics in heat exchanger tubes with wire-rod bundles
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Type
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JournalPaper
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Keywords
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GMDH-type neural network; genetic algorithm; heat exchanger; optimization
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Abstract
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The group method of data handling (GMDH) technique was used to predict heat transfer and friction characteristics in heat exchanger tubes equipped with wire-rod bundles. Nusselt number and friction factor were determined as functions of wire-rod bundle geometric parameters and Reynolds number. The performance of the developed GMDH-type neural networks was found to be superior in comparison with the proposed empirical correlations. For optimization, the genetic algorithm-based multi-objective optimization was applied.
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Researchers
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Smith Eiamsa-ard (Fourth Researcher), Mehdi Parvizi (Third Researcher), Reza Beigzadeh (Second Researcher), Masoud Rahimi (First Researcher)
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