Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid
contributor author | هادی صالحی | en |
contributor author | سعید زینالی هریس | en |
contributor author | مرتضی اسفندیاری | en |
contributor author | مهدی کولیوندسالوکی | en |
contributor author | Saeed Zeinali Heris | fa |
contributor author | morteza esfandyari | fa |
contributor author | Mahdi Koolivand Salooki | fa |
date accessioned | 2020-06-06T13:10:45Z | |
date available | 2020-06-06T13:10:45Z | |
date issued | 2013 | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3344769?show=full | |
description abstract | In 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 |
language | English | |
title | Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid | en |
type | Journal Paper | |
contenttype | External Fulltext | |
subject keywords | heat transfer enhancement- Nero-fuzzy modeling- nanofluid | en |
journal title | Heat and Mass Transfer | fa |
pages | 575-583 | |
journal volume | 49 | |
journal issue | 4 | |
identifier link | https://profdoc.um.ac.ir/paper-abstract-1031681.html | |
identifier articleid | 1031681 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |