Second Law based Optimisation of Crossflow Plate -fin Heat Exhcnager Design using Genetic Algorithm

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1004

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DC Field	Value	Language
dc.contributor.author	Mishra, M	-
dc.contributor.author	Das, P K	-
dc.contributor.author	Sarangi, S K	-
dc.date.accessioned	2009-08-05T03:21:42Z	-
dc.date.available	2009-08-05T03:21:42Z	-
dc.date.issued	2009-10	-
dc.identifier.citation	Applied Thermal Engineering Volume 29, Issue 14-15, October 2009, Pages 2983-2989	en
dc.identifier.uri	http://dx.doi.org/10.1016/j.applthermaleng.2009.03.009	-
dc.identifier.uri	http://hdl.handle.net/2080/1004	-
dc.description.abstract	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.	en
dc.format.extent	304934 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Elsevier	en
dc.subject	crossflow heat exchanger	en
dc.subject	entropy generation number	en
dc.subject	genetic algorithm optimisation	en
dc.subject	plate-fin	en
dc.title	Second Law based Optimisation of Crossflow Plate -fin Heat Exhcnager Design using Genetic Algorithm	en
dc.type	Article	en
Appears in Collections:	Journal Articles

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