Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network

This paper aims to predict the heat transfer and pressure drop for an in-line flat tubes configuration in a cross-flow using an artificial neural network. The numerical study of a two-dimensional steady state and incompressible laminar flow for an in-line flat tube configuration in a cross-flow is al...

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Main Authors: Tahseen, Tahseen Ahmad, M. M., Rahman
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8183/
http://umpir.ump.edu.my/id/eprint/8183/1/17_Tahseen_et_al.pdf
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author Tahseen, Tahseen Ahmad
M. M., Rahman
author_facet Tahseen, Tahseen Ahmad
M. M., Rahman
author_sort Tahseen, Tahseen Ahmad
building UMP Institutional Repository
collection Online Access
description This paper aims to predict the heat transfer and pressure drop for an in-line flat tubes configuration in a cross-flow using an artificial neural network. The numerical study of a two-dimensional steady state and incompressible laminar flow for an in-line flat tube configuration in a cross-flow is also considered in this study. The Reynolds number varies from 10 to 320. Heat transfer coefficient and pressure drop results are presented for tube configurations at three transverse pitches of 2.5, 3.0, and 4.5 with two longitudinal pitches of 3.0 and 6.0. The predicted results for the average Nusselt number and dimensionless pressure show good agreement with previous work. The accuracy between the actual values and the neural network approach model results was obtained with a mean absolute relative error less than 4.1%, 4.8%, and 3.8% for the average Nusselt number, dimensionless pressure drop and average friction factor, respectively.
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spelling ump-81832018-01-30T02:37:34Z http://umpir.ump.edu.my/id/eprint/8183/ Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network Tahseen, Tahseen Ahmad M. M., Rahman TJ Mechanical engineering and machinery This paper aims to predict the heat transfer and pressure drop for an in-line flat tubes configuration in a cross-flow using an artificial neural network. The numerical study of a two-dimensional steady state and incompressible laminar flow for an in-line flat tube configuration in a cross-flow is also considered in this study. The Reynolds number varies from 10 to 320. Heat transfer coefficient and pressure drop results are presented for tube configurations at three transverse pitches of 2.5, 3.0, and 4.5 with two longitudinal pitches of 3.0 and 6.0. The predicted results for the average Nusselt number and dimensionless pressure show good agreement with previous work. The accuracy between the actual values and the neural network approach model results was obtained with a mean absolute relative error less than 4.1%, 4.8%, and 3.8% for the average Nusselt number, dimensionless pressure drop and average friction factor, respectively. Universiti Malaysia Pahang 2014-12-30 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/8183/1/17_Tahseen_et_al.pdf Tahseen, Tahseen Ahmad and M. M., Rahman (2014) Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network. International Journal of Automotive and Mechanical Engineering (IJAME), 10. pp. 2003-2015. ISSN 1985-9325(Print); 2180-1606 (Online). (Published) http://ijame.ump.edu.my/ http://dx.doi.org/10.15282/ijame.10.2014.17.0168
spellingShingle TJ Mechanical engineering and machinery
Tahseen, Tahseen Ahmad
M. M., Rahman
Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network
title Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network
title_full Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network
title_fullStr Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network
title_full_unstemmed Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network
title_short Heat Transfer and Pressure Drop Prediction In An In-Line Flat Tube Bundle by Radial Basis Function Network
title_sort heat transfer and pressure drop prediction in an in-line flat tube bundle by radial basis function network
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/8183/
http://umpir.ump.edu.my/id/eprint/8183/
http://umpir.ump.edu.my/id/eprint/8183/
http://umpir.ump.edu.my/id/eprint/8183/1/17_Tahseen_et_al.pdf