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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2023-05-01
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| سلاسل: | Energies |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/1996-1073/16/10/4209 |
| الوسوم: |
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