Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model

This paper shows how to predict the heat transfer and pressure drop for in-line flat tube configuration in a crossflow, using an adaptive neuro-fuzzy inference system (ANFIS). A numerical study of a 2D steady state and incompressible laminar flow for in-line flat tube configuration in a crossflow is...

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Main Authors:	Tahseen , T.A., M., Ishak, M. M., Rahman
Format:	Article
Language:	English
Published:	Elsevier 2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/8184/ http://umpir.ump.edu.my/id/eprint/8184/ http://umpir.ump.edu.my/id/eprint/8184/ http://umpir.ump.edu.my/id/eprint/8184/1/Performance_predictions_of_laminar_heat_transfer_and_pressure_drop_International_communication_2014.pdf

id	ump-8184
recordtype	eprints
spelling	ump-81842018-01-30T02:40:38Z http://umpir.ump.edu.my/id/eprint/8184/ Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model Tahseen , T.A. M., Ishak M. M., Rahman TJ Mechanical engineering and machinery This paper shows how to predict the heat transfer and pressure drop for in-line flat tube configuration in a crossflow, using an adaptive neuro-fuzzy inference system (ANFIS). A numerical study of a 2D steady state and incompressible laminar flow for in-line flat tube configuration in a crossflow is also considered in this study. A finite volume technique and body-fitted coordinate system is used to solve the Navier–Stokes and energy equations. The Reynolds number varies from 10 to 320. Heat transfer and pressure drop results are presented for a tube configuration at transverse pitch and longitudinal pitch. The variation in velocity profile, isotherm contours and streamlines were compared for various configurations. The predicted results for average Nusselt number and dimensionless pressure show a good agreement with available previous work. The accuracy between numerical values and ANFIS model results were obtained with a mean relative error for average Nusselt number, pressure drop less than 1.9% and 2.97% respectively. Therefore, the ANFIS model is capable of predicting the performance of thermal systems in engineering applications, including the model of the tube bundle for heat transfer analysis and pressure drop. Elsevier 2014-01-17 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8184/1/Performance_predictions_of_laminar_heat_transfer_and_pressure_drop_International_communication_2014.pdf Tahseen , T.A. and M., Ishak and M. M., Rahman (2014) Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model. International Communications in Heat and Mass Transfer, 50. pp. 85-97. ISSN 0735-1933 http://dx.doi.org/10.1016/j.icheatmasstransfer.2013.11.007 doi:10.1016/j.icheatmasstransfer.2013.11.007
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Tahseen , T.A. M., Ishak M. M., Rahman Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
description	This paper shows how to predict the heat transfer and pressure drop for in-line flat tube configuration in a crossflow, using an adaptive neuro-fuzzy inference system (ANFIS). A numerical study of a 2D steady state and incompressible laminar flow for in-line flat tube configuration in a crossflow is also considered in this study. A finite volume technique and body-fitted coordinate system is used to solve the Navier–Stokes and energy equations. The Reynolds number varies from 10 to 320. Heat transfer and pressure drop results are presented for a tube configuration at transverse pitch and longitudinal pitch. The variation in velocity profile, isotherm contours and streamlines were compared for various configurations. The predicted results for average Nusselt number and dimensionless pressure show a good agreement with available previous work. The accuracy between numerical values and ANFIS model results were obtained with a mean relative error for average Nusselt number, pressure drop less than 1.9% and 2.97% respectively. Therefore, the ANFIS model is capable of predicting the performance of thermal systems in engineering applications, including the model of the tube bundle for heat transfer analysis and pressure drop.
format	Article
author	Tahseen , T.A. M., Ishak M. M., Rahman
author_facet	Tahseen , T.A. M., Ishak M. M., Rahman
author_sort	Tahseen , T.A.
title	Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
title_short	Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
title_full	Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
title_fullStr	Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
title_full_unstemmed	Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model
title_sort	performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (anfis) model
publisher	Elsevier
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/8184/ http://umpir.ump.edu.my/id/eprint/8184/ http://umpir.ump.edu.my/id/eprint/8184/ http://umpir.ump.edu.my/id/eprint/8184/1/Performance_predictions_of_laminar_heat_transfer_and_pressure_drop_International_communication_2014.pdf
first_indexed	2023-09-18T22:05:30Z
last_indexed	2023-09-18T22:05:30Z
_version_	1777414680673779712

Performance predictions of laminar heat transfer and pressure drop in an in-line flat tube bundle using an adaptive neuro-fuzzy inference system (ANFIS) model

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