Title of article :
The Prediction of Heat Transfer and Fluid Characteristics for Equilateral Triangular Bodies in Tandem Arrangement by Artificial Neural Networks
Author/Authors :
MANAY, Eyüphan Bayburt University - Faculty of Engineering - Department of Mechanical Engineering, Turkey , GÜNES, Sibel Erciyes University - Faculty of Engineering - Department of Mechanical Engineering, Turkey , AKÇADIRCI, Esra Erciyes University - Faculty of Engineering - Department of Mechanical Engineering, Turkey , ÖZCEYHAN, Veysel Erciyes University - Faculty of Engineering - Department of Mechanical Engineering, Turkey , ÇAKIR, Uğur Bayburt University - Faculty of Engineering - Department of Mechanical Engineering, Turkey , ÇOMAKLI, Ömer Bayburt University - Faculty of Engineering - Department of Mechanical Engineering, Turkey
From page :
505
To page :
517
Abstract :
The objective of this study is to investigate the effect of the spacing between equilateral dual triangular bodies symmetrically placed into the channel axis under steady state conditions on heat transfer and fluid characteristics by using artificial neural networks (ANN). The Back Propagation (BP) training algorithm was applied to train the model. The successful application proved that ANN model can be used for predicting the Nusselt number and skin friction coefficient as a convenient and effective method. The distribution of local Nusselt number, skin friction coefficient along the channel wall and overall enhancement ratio of all investigated cases are presented.
Keywords :
Heat transfer enhancement , tandem arrangement , triangular body , artificial neural network
Journal title :
Gazi University Journal Of Science
Journal title :
Gazi University Journal Of Science
Record number :
2600463
Link To Document :
بازگشت