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Alternative approach in thermal analysis of plate heat exchanger

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dc.creator Selbas, Resat
dc.creator Kilic, Bayram
dc.creator Sencan, Arzu
dc.date 2008-12-31T22:00:00Z
dc.date.accessioned 2020-10-06T10:49:31Z
dc.date.available 2020-10-06T10:49:31Z
dc.identifier 97336743-492d-4310-be26-e8b672f62f53
dc.identifier 10.1007/s00231-008-0427-z
dc.identifier https://avesis.sdu.edu.tr/publication/details/97336743-492d-4310-be26-e8b672f62f53/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/66989
dc.description This paper presents alternative approach in heat transfer analysis of plate heat exchangers. In order to obtain heat transfer rate and effectiveness values of plate heat exchanger, neural network (NN) approach was used. Experimentally, system used in plate heat exchanger for heating and cooling applications was designed and constructed. Experimental data were used for training and testing network. The training and validation were performed with good accuracy. The correlation coefficient obtained when unknown data were applied to the networks was 0.9994 for heat transfer rate and 0.9976 for effectiveness, which is very satisfactory. Using the weights obtained from the trained network, a new formulation is presented for determination of heat transfer rate and effectiveness. This formulation can provide simplicity in thermal analysis of plate heat exchanger. The presented procedure can also help to heat exchanger designer and manufacturer.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Alternative approach in thermal analysis of plate heat exchanger
dc.type info:eu-repo/semantics/article


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