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Multi-objective optimization of a plain fin-and-tube heat exchanger using genetic algorithm

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Multi-objective optimization of a plain fin-and-tube heat exchanger using genetic algorithm

Content Provider	Springer Nature Link
Author	Juan, Du Qin, Qian Zuo
Copyright Year	2014
Abstract	In the present paper, a plate fin-and-tube heat exchanger (PFTHE) is considered for optimization with air and water as working fluid, four geometric variables are taken as parameters for optimization, a Genetic Algorithm (GA) was used to search for the optimal structure sizes of the PFTHE, the maximum total heat transfer rate and the minimum total pressure drop are taken as objective functions in GA, respectively. Performance of the optimized result was evaluated and correspondingly the total heat transfer rate, the total pressure drop, the heat transfer coefficient and the local Nusselt number, j-factor and friction factor ξ are calculated respectively. Results show that the total heat transfer rate of the optimized heat exchanger increased by about 2.1–9.2% comparing with the original one, the heat transfer coefficient increased by about 8.2–14.7% and the total pressure drop decreased by about 4.4–8% in the range of Re = 1200–14000.
Starting Page	309
Ending Page	317
Page Count	9
File Format	PDF
ISSN	00406015
Journal	Thermal Engineering
Volume Number	61
Issue Number	4
e-ISSN	15556301
Language	English
Publisher	Pleiades Publishing
Publisher Date	2014-03-26
Publisher Place	Moscow
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	genetic algorithm multi-objective optimization optimization plate fin-and-tube heat exchanger Engineering Thermodynamics, Heat and Mass Transfer
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Nuclear Energy and Engineering

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