Estimation of Heat Transfer and Pressure Drop in an In-Line Flat Tubes Bundle by Radial Basis Function Network (RBFN)

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Tahseen, Tahseen Ahmad and M., Ishak and M. M., Rahman (2013) Estimation of Heat Transfer and Pressure Drop in an In-Line Flat Tubes Bundle by Radial Basis Function Network (RBFN). In: Proceedings of Malaysian Technical Universities Conference on Engineering & Technology (MUCET 2013), 3-4 December 2013 , Kuantan, Pahang. pp. 1-8..

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Abstract

This paper presents how to predict the heat transfer and pressure drop for in-line flat tubes configuration in a crossflow using an artificial neural networks (ANNs). The numerical study of a 2-D steady state and incompressible laminar flow in a tube configuration is also considered in this study. A finite volume technique and body-fitted coordinate system used to solve the Navier-Stokes and energy equations. The Reynolds number based on hydraulic diameter varies from 10 to 320. Heat transfer coefficient and pressure drop results are presented for tube configurations at three transverse pitches are 2.5, 3.0 and 4.5 with two longitudinal pitches are 3.0 and 6.0. The predicted results for average Nusselt number and dimensionless pressure show a good agreement with available previous work. The accuracy between actual values and ANNs approach model results was obtained with a mean relative error less than 4.10% for average Nusselt number and less than 4.8% for pressure drop.

Item Type:Conference or Workshop Item (Speech)
Additional Information:Prof. Dr. Md Mustafizur Rahman (M. M. Rahman) Dr. Mahadzir Ishak@Muhammad (M. Ishak)
Uncontrolled Keywords:In-line flat tube; Finite volume technique; Modeling; Radial basis function network
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Faculty of Mechanical Engineering
ID Code:5600
Deposited By: Noorul Farina Arifin
Deposited On:17 Apr 2014 15:19
Last Modified:09 Aug 2017 16:16

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