Artificial neural network techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube
In this study, the best artificial intelligence method is investigated to estimate the measured convective heat transfer coefficient and pressure drop of R134a flowing downward inside a vertical smooth copper tube having an inner diameter of 8.1 mm and a length of 500 mm during annular flow numerica...
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Veröffentlicht in: | International communications in heat and mass transfer 2011, Vol.38 (1), p.75-84 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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