Second law based optimisation of crossflow plate-fin heat exchanger design using genetic algorithm

A genetic algorithm based optimisation technique has been developed for crossflow plate-fin heat exchangers using offset-strip fins. The algorithm takes care of large number of continuous as well as discrete variables in the presence of given constraints. The optimisation program aims at minimising...

Full description

Saved in:
Bibliographic Details
Published in:Applied thermal engineering 2009-10, Vol.29 (14), p.2983-2989
Main Authors: Mishra, Manish, Das, P.K., Sarangi, Sunil
Format: Article
Language:English
Subjects:
Applied sciences
Crossflow heat exchanger
Devices using thermal energy
Energy
Energy. Thermal use of fuels
Entropy generation number
Exact sciences and technology
Genetic algorithm
Heat exchangers (included heat transformers, condensers, cooling towers)
Heat transfer
Optimisation
Plate-fin
Theoretical studies. Data and constants. Metering
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A genetic algorithm based optimisation technique has been developed for crossflow plate-fin heat exchangers using offset-strip fins. The algorithm takes care of large number of continuous as well as discrete variables in the presence of given constraints. The optimisation program aims at minimising the number of entropy generation units for a specified heat duty under given space restrictions. The results have also been obtained and validated through graphical contours of the objective function in the feasible design space. The effect of variation of heat exchanger dimensions on the optimum solution has also been presented.
ISSN:1359-4311
DOI:10.1016/j.applthermaleng.2009.03.009