Designing of open cell aluminum foam heat exchanger and modelling of its thermal performance by using ann method

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dc.contributor.authorSertkaya, Ahmet Ali
dc.contributor.authorAteş, Ali
dc.contributor.authorAltınışık, Kemal
dc.date.accessioned2020-03-26T19:23:32Z
dc.date.available2020-03-26T19:23:32Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractThis study deals with the design and thermal performance modeling of aluminum foam open cell heat exchangers by making use of experimental data where the aluminum featuring different numbers of pores per inch (PPI) was used and the modeling was based on the Artificial Neural Networks (ANN) method. The open celled aluminum foams with 10, 20 and 30 PPI features were shaped into heat exchangers. The heat exchangers were placed into a rectangular groove then hot water was circulated within the heat exchanger tubings and cold air generated from a fan was blown over the tubings at varying rates. For every heat exchanger, the variations of Reynolds number with Nusselt number, pressure drop with air speed, and friction with Reynolds number were presented on graphs. By making use of the experimental data, ANN modeling was carried out for materials with 10, 15, 20, 25 and 30 PPI porous densities. The ANN input parameters for the developed system were T-hin, T-cin, T-hinw, u and PPI, whereas the output parameters were chosen to be T-hout, T-cout, T-houtw and Delta P. When the results from the Artificial Neural Networks were analyzed and compared with the experimental results, it was found that a close correlation exists between the two. With the result of this study, it becomes clear that the Artificial Neural Networks numerical modeling can be safely applied to aluminum foam heat exchangers.en_US
dc.identifier.citationSertkaya, A. A., Ateş, A., Altınışık, K. (2016). Designing of Open Cell Aluminum Foam Heat Exchanger and Modelling of its Thermal Performance by Using Ann Method. Journal of Polytechnic-Politeknik Dergisi, 19(1), 31-37.
dc.identifier.doi10.2339/2016.19.1.31-37en_US
dc.identifier.endpage37en_US
dc.identifier.issn1302-0900en_US
dc.identifier.issn2147-9429en_US
dc.identifier.issue1en_US
dc.identifier.pmid#YOKen_US
dc.identifier.startpage31en_US
dc.identifier.urihttps://dx.doi.org/10.2339/2016.19.1.31-37
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33423
dc.identifier.volume19en_US
dc.identifier.wosWOS:000447833900004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorAtes, Ali
dc.institutionauthorAltinisik, Kemal
dc.language.isoenen_US
dc.publisherGAZI UNIVen_US
dc.relation.ispartofJOURNAL OF POLYTECHNIC-POLITEKNIK DERGISIen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAluminum foamen_US
dc.subjectheat exchangeren_US
dc.subjectperformanceen_US
dc.subjectartificial neural networken_US
dc.titleDesigning of open cell aluminum foam heat exchanger and modelling of its thermal performance by using ann methoden_US
dc.typeArticleen_US

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