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
Rishikesh Sharma,
Dipti Prasad Mishra,
Marek Wasilewski () and
Lakhbir Singh Brar
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Rishikesh Sharma: Department of Mechanical Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, Jharkhand, India
Dipti Prasad Mishra: Department of Mechanical Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, Jharkhand, India
Marek Wasilewski: Faculty of Production Engineering and Logistics, Opole University of Technology, 76 Proszkowska St., 45-758 Opole, Poland
Lakhbir Singh Brar: Department of Mechanical Engineering, Birla Institute of Technology, Mesra, Ranchi 835215, Jharkhand, India
Energies, 2023, vol. 16, issue 10, 1-30
Abstract:
The present work aims at optimizing the geometry of curved trapezoidal winglets to enhance heat transfer rates (expressed as Colburn factor, j ) and minimize pressure losses (expressed as friction factor, f ). A fin-and-tube heat exchanger was analyzed with winglets mounted on the alternate tube and on either side of the fins. Multi-objective optimization was performed using the genetic algorithm (GA) to maximize j and minimize f . Two surrogate models, viz. response surface methodology (RSM) and artificial neural network (ANN), were considered as inputs to GA. To reduce the number of runs, a sensitivity analysis was first performed to select the most influential geometrical parameters for optimization. The values of j and f in the design of the experiments table were computed using CFD. The Pareto front points elucidated a significant improvement compared with the reference model along with a broad choice for the designers, not only for the design condition but also for the off-design inlet condition.
Keywords: fin-and-tube heat exchanger; vortex generators; curved trapezoidal winglet; RSM; ANN; GA (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)
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