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

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 wingle...

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Bibliographic Details
Main Authors: Rishikesh Sharma, Dipti Prasad Mishra, Marek Wasilewski, Lakhbir Singh Brar
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Energies
Subjects:
fin-and-tube heat exchanger
vortex generators
curved trapezoidal winglet
RSM
ANN
GA
Online Access:https://www.mdpi.com/1996-1073/16/10/4209

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