Title : ( Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid )
Authors: , Saeed Zeinali Heris , morteza esfandyari , Mahdi Koolivand Salooki ,
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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.
Keywords
, heat transfer enhancement, Nero, fuzzy modeling, nanofluid
@article{paperid:1031681,
author = {, and Zeinali Heris, Saeed and Esfandyari, Morteza and Koolivand Salooki, Mahdi},
title = {Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid},
journal = {Heat and Mass Transfer},
year = {2013},
volume = {49},
number = {4},
month = {April},
issn = {0947-7411},
pages = {575--583},
numpages = {8},
keywords = {heat transfer enhancement- Nero-fuzzy modeling- nanofluid},
}
%0 Journal Article
%T Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid
%A ,
%A Zeinali Heris, Saeed
%A Esfandyari, Morteza
%A Koolivand Salooki, Mahdi
%J Heat and Mass Transfer
%@ 0947-7411
%D 2013
