Optimization of wavy fin‐and‐elliptical tube heat exchanger using CFD, multi‐objective genetic algorithm and radical basis function

This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f...

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Vydáno v:Energy science & engineering Ročník 9; číslo 9; s. 1359 - 1372
Hlavní autoři: Yu, Chao, Xue, Xiangyao, Shi, Kui, Wang, Renhao, Zhang, Lei, Shao, Mingzhen
Médium: Journal Article
Jazyk:angličtina
Vydáno: London John Wiley & Sons, Inc 01.09.2021
Wiley
Témata:
Accuracy
Aluminum
Basis functions
Boundary conditions
CFD
Computational fluid dynamics
Design optimization
field synergy
Finite volume method
Flow velocity
Friction
Friction factor
Genetic algorithms
Heat conductivity
Heat exchangers
Heat transfer
multi‐objective optimization
Optimization
Physical properties
Reynolds number
Simulation
Structural design
Structural engineering
tube heat exchanger
Tube heat exchangers
Wavy fins
ISSN:2050-0505, 2050-0505
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Shrnutí:This article presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger. This paper presents an accurate and efficient optimization method for heat exchanger. The structure of the original heat exchanger was optimized by combining LHS sampling, CFD simulation, radical basis function, and multi‐objective optimization. Since the Colburn factor j and the friction factor f are a pair of conflicting goals, so the multi‐objective optimization is adopted. The optimization results showed that the Colburn factor j increased by 5.43% and the friction factor f decreased by 23.31%, indicating that the optimized structure had higher heat transfer efficiency and lower resistance performance. The heat transfer mechanism and optimization effect of heat exchanger are explained by using the field synergy principle, which provides a theoretical basis for the structural design optimization of heat exchanger.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2050-0505
2050-0505
DOI:10.1002/ese3.897