Application of Response Surface Methodology and Artificial Neural Network to Optimize the Curved Trapezoidal Winglet Geometry for Enhancing the Performance of a Fin-and-Tube Heat Exchanger
The present work aims at optimizing the geometry of curved trapezoidal winglets to enhance heat transfer rates (expressed as Colburn factor, <i>j</i>) and minimize pressure losses (expressed as friction factor, <i>f</i>). A fin-and-tube heat exchanger was analyzed with winglets mounted on the altern...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2023-05-01
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| Col·lecció: | Energies |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1996-1073/16/10/4209 |
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