Author/Authors :
SERTKAYA, Ahmet Ali Necmettin Erbakan University - Faculty of Seydisehir Ahmet Cengiz Engineering - Department of Mechanical Engineering, Turkey , ATEŞ, Ali Selcuk University - Faculty Engineering - Department of Mechanical Engineering, Turkey , ALTINISIK, Kemal Selcuk University - Department of Mechanical Engineering, Turkey
Abstract :
This 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 Thin, Tcin, Thinw, u and PPI, whereas the output parameters were chosen to be Thout, Tcout, Thoutw and ΔP. 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.
NaturalLanguageKeyword :
Aluminum foam , heat exchanger , performance , artificial neural network
