Modeling of thermal diffusivity of nanofluids using artificial neural network

被引：0
|
作者：
Yousefi, Fakhri [1 ]
Parsazadeh, Nadieh [1 ]
机构：
[1] Univ Yasuj, Dept Chem, Yasuj 75914353, Iran
来源：
HIGH TEMPERATURES-HIGH PRESSURES | 2017年 / 46卷 / 06期
关键词：
Artificial neural networks; Thermal diffusivity; Nanofluid; Nanoparticle; EQUATION-OF-STATE; HEAT-TRANSFER; PARTICLE-SIZE; CONDUCTIVITY; TEMPERATURE; PREDICTION; WATER; NANOPARTICLES; DEPENDENCE; VISCOSITY;
D O I：
暂无
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
An artificial neural network model has successfully been utilized to compute the thermal diffusivity of nanofluids such as Al2O3/Water, TiO2/ Water, CuO/Water, CNT/Water, Au/Water, Au/EG and Au/Ethanol as a function of the temperature, thermal diffusivity of nanoparticle, volume fraction of nanoparticle, diameter of nanoparticle and the thermal diffusivity of base fluids. The mean square error (MSE) was chosen as a judge of the performance of the network. The trained network presents good agreement between the predicted and the literatures with AAD = 1.13% and high coefficient of determinations, R-2 = 0.996. Besides, this work is compared with other models.
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页码：459 / 480
页数：22
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