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2012 | 14 | 4 | 46-52
Tytuł artykułu

Artificial neural network to predict the natural convection from vertical and inclined arrays of horizontal cylinders

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The main focus of the present study is to utilize the artificial neural network (ANN) in predicting the natural convection from horizontal isothermal cylinders arranged in vertical and inclined arrays. The effects of the vertical separation spacing to the cylinder diameter ratio (Py/d), horizontal separation spacing to the cylinder diameter ratio (Px/d) and Rayleigh number (Ra) variation on the average heat transfer from the arrays are considered via this prediction. The training data for optimizing the ANN structure is based on available experimental data. The Levenberg-Marquardt back propagation algorithm is used for ANN training. The proposed ANN is developed using MATLAB functions. For the best ANN structure obtained in this investigation, the mean relative errors of 0.027% and 0.482% were reached for the training and test data, respectively. The results show that the predicted values are very close to the experimental ones.
Wydawca
Rocznik
Tom
14
Numer
4
Strony
46-52
Opis fizyczny
Daty
wydano
2012-12-01
online
2013-01-12
Twórcy
autor
  • Kermanshah University of Technology, Department of Mechanical Engineering, Kermanshah, Iran
  • Razi University, Department of Mechanical Engineering, Kermanshah, Iran
  • Kermanshah University of Technology, Department of Mechanical Engineering, Kermanshah, Iran
Bibliografia
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  • 10. Ashjaee, M. & Yousefi, T. (2007). Experimental Study of Free Convection Heat Transfer from Horizontal Isothermal Cylinders Arranged in Vertical and Inclined Arrays. J. Heat TransferEngineering.28(5),460-471.DOI: 10.1080/01457630601165822.[Crossref]
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  • 13. Zdaniuk, G.J., Chamra, L.M. & Walters, D.K. (2007).Correlating heat transfer and friction in helically-finned tubes using artificial neural networks.Int. J. of Heat and Mass Transfer 50(23- 24), 4713-4723. DOI: 10.1016/j.ijheatmasstransfer.2007.03.043.[Crossref][WoS]
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  • 17. Hernández, J.A., Romero, R.J., Juárez, D., Escobar, R.F. & Siqueiros, J. (2009). A neural network approach and thermodynamic model of waste energy recovery in a heat transformer in a water purification process.Desalination. 243(1- 3), 273-285. DOI: 10.1016/j.desal.2008.05.015.[WoS][Crossref]
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_2478_v10026-012-0101-6
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