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

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contributor.authorMishra, M-
contributor.authorDas, P K-
contributor.authorSarangi, S K-
date.accessioned2009-08-05T03:21:42Z-
date.available2009-08-05T03:21:42Z-
date.issued2009-10-
identifier.citationApplied Thermal Engineering Volume 29, Issue 14-15, October 2009, Pages 2983-2989en
identifier.urihttp://dx.doi.org/10.1016/j.applthermaleng.2009.03.009-
identifier.urihttp://hdl.handle.net/2080/1004-
description.abstractwell 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
format.extent304934 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherElsevieren
subjectcrossflow heat exchangeren
subjectentropy generation numberen
subjectgenetic algorithm optimisationen
subjectplate-finen
titleSecond Law based Optimisation of Crossflow Plate -fin Heat Exhcnager Design using Genetic Algorithmen
typeArticleen
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