Nero-fuzzy modeling of the convection heat transfer coefficient for the nanofluid

被引：30
|
作者：
Salehi, H. [1 ]
Zeinali-Heris, S. [1 ]
Esfandyari, M. [2 ]
Koolivand, M. [3 ]
机构：
[1] Ferdowsi Univ Mashhad, Dept Chem Engn, Fac Engn, Heat Pipe & Nanofluid Res Ctr, Mashhad, Iran
[2] Ferdowsi Univ Mashhad, Dept Chem Engn, Fac Engn, Mashhad, Iran
[3] Oil Field Co, Petr Dept, Natl Iranian South, Ahvaz, Iran
来源：
HEAT AND MASS TRANSFER | 2013年 / 49卷 / 04期
关键词：
CLOSED THERMOSIPHON; ANFIS; NETWORK;
D O I：
10.1007/s00231-012-1104-9
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
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.
引用
收藏
页码：575 / 583
页数：9
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