Designing an artificial neural network to predict dynamic viscosity of aqueous nanofluid of TiO2 using experimental data
Mohammad Hemmat Esfe(Semnan University), Mohammad Hadi Hajmohammad(Imam Hossein University), Mousa Rejvani(Semnan University), Mohammad Reza Hassani Ahangar(Imam Hossein University), Davood Toghraie(Islamic Azad University of Khomeynishahr)
International Communications in Heat and Mass Transfer
April 13, 2016
Cited by 209
Related Papers
Measurement of thermal conductivity of ZnO–TiO2/EG hybrid nanofluid
|Journal of Thermal Analysis and Calorimetry|2016|407
Effects of temperature and nanoparticles concentration on rheological behavior of Fe 3 O 4 –Ag/EG hybrid nanofluid: An experimental study
|Experimental Thermal and Fluid Science|2016|366
An experimental study on the effect of diameter on thermal conductivity and dynamic viscosity of Fe/water nanofluids
|Journal of Thermal Analysis and Calorimetry|2014|306
Comprehensive review of lithium-ion battery materials and development challenges
|Renewable and Sustainable Energy Reviews|2024|305
Mixed convection of copper–water nanofluid in a shallow inclined lid driven cavity using the lattice Boltzmann method
|Physica A Statistical Mechanics and its Applications|2014|287