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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Hlavní autoři:	Rishikesh Sharma, Dipti Prasad Mishra, Marek Wasilewski, Lakhbir Singh Brar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-05-01
Edice:	Energies
Témata:	fin-and-tube heat exchanger vortex generators curved trapezoidal winglet RSM ANN GA
On-line přístup:	https://www.mdpi.com/1996-1073/16/10/4209
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