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contributor authorهادی صالحیen
contributor authorسعید زینالی هریسen
contributor authorمرتضی اسفندیاریen
contributor authorمهدی کولیوندسالوکیen
contributor authorSaeed Zeinali Herisfa
contributor authormorteza esfandyarifa
contributor authorMahdi Koolivand Salookifa
date accessioned2020-06-06T13:10:45Z
date available2020-06-06T13:10:45Z
date issued2013
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3344769?show=full
description abstractIn this study, experiments were performed by

six different volume fractions of Al2O3 nanoparticles in

distilled water. Then, actual nanofluid Nusslet number

compared by Adaptive neuro fuzzy inference system

(ANFIS) predicted number in square cross-section duct in

laminar flow under uniform heat flux condition. Statistical

values, which quantify the degree of agreement between

experimental observations and numerically calculated

values, were found greater than 0.99 for all cases.
en
languageEnglish
titleNero-fuzzy modeling of the convection heat transfer coefficient for the nanofluiden
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsheat transfer enhancement- Nero-fuzzy modeling- nanofluiden
journal titleHeat and Mass Transferfa
pages575-583
journal volume49
journal issue4
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1031681.html
identifier articleid1031681


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