Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks
Joint Authors
Sultan, Husayn Sadiq
Salim, Khalid Bakr
Khayyun, Imad A.
Source
Issue
Vol. 10, Issue 3 (31 Jul. 2019), pp.73-89, 17 p.
Publisher
University of Kufa Faculty of Engineering
Publication Date
2019-07-31
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Abstract EN
This paper investigates the ability of utilizing the artificial neural network (ANN) in calculating the forced convection characteristics coefficients from internal flow of air inside a pipe subjected to constant heat flux.
The heat transfer characteristics such as Nusselt number (Nu), Stanton number (St) and friction factor (f) which are calculated using the empirical correlations have high deviation from that obtained from the experiments.
So, the ANN method is proposed for predicting these characteristics coefficients more close to the experimental results.
The training and testing data for optimizing the ANN structure are based on the experimental data obtained from the experiments performed on a forced convection apparatus.
Three training algorithms for the training of the ANN were used and the presented ANN is implemented by using such MATLAB program.
For the preferable ANN structure acquired in the current work, an acceptable mean square error was achieved for the training and test data, using the Trainlm algorithm.
The results reveal that the estimated results are very close to the experimental data.
Also, a new Graphical User Interface (GUI) is implemented for the application of ANN in the calculation of the attempted heat transfer parameters.
American Psychological Association (APA)
Salim, Khalid Bakr& Khayyun, Imad A.& Sultan, Husayn Sadiq. 2019. Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks. Kufa Journal of Engineering،Vol. 10, no. 3, pp.73-89.
https://search.emarefa.net/detail/BIM-896151
Modern Language Association (MLA)
Salim, Khalid Bakr…[et al.]. Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks. Kufa Journal of Engineering Vol. 10, no. 3 (Jul. 2019), pp.73-89.
https://search.emarefa.net/detail/BIM-896151
American Medical Association (AMA)
Salim, Khalid Bakr& Khayyun, Imad A.& Sultan, Husayn Sadiq. Prediction of heat transfer characteristics for forced convection pipe flow using artificial neural networks. Kufa Journal of Engineering. 2019. Vol. 10, no. 3, pp.73-89.
https://search.emarefa.net/detail/BIM-896151
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 88-89
Record ID
BIM-896151