Developing dissimilar artificial neural networks (ANNs) to prediction the thermal conductivity of MWCNT-TiO2/Water-ethylene glycol hybrid nanofluid
Alireza Akhgar(Islamic Azad University of Khomeynishahr), Masoud Afrand(Islamic Azad University of Najafabad), Nima Sina(Islamic Azad University of Najafabad), Davood Toghraie(Islamic Azad University of Khomeynishahr)
Cited by 207
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