Nanofluids are broadly applied in energy systems such as solar collector, heat exchanger and heat pipes. Dynamic viscosity of the nanofluids is among the most important features …
Viscosity of nanofluids can significantly affect pumping power, pressure drop, workability of the nanofluid as well as its convective heat transfer coefficient. Experimental measurements …
SR Yan, D Toghraie, LA Abdulkareem… - Journal of Materials …, 2020 - Elsevier
In the current study, an experimental study was carried out on the rheological properties of hybrid non-Newtonian nanofluid (MWCNTs–ZnO/Water–Ethylene glycol (80: 20 vol.%)) to …
The enhanced thermal characteristics of nanofluids have made it one of the most raplidly growing research areas in the last decade. Numerous researches have shown the merits of …
M Gholizadeh, M Jamei, I Ahmadianfar… - … and Intelligent Laboratory …, 2020 - Elsevier
Accurate estimation of viscosity, one of the most important thermo-physical properties of nanofluids, is essential in heat transfer fluid applications in many industries. In this paper, for …
MH Hamzah, NAC Sidik, TL Ken, R Mamat… - International Journal of …, 2017 - Elsevier
Hybrid nanofluids have proven its favorable impact in terms of thermophysical properties, heat transfer rate and stability. Many distinctive features of hybrid nanofluids offer an …
The remarkable enhancement in heat transfer capabilities of conventional fluids with the addition of nanosized metallic and non-metallic particles appealed the attention of …
E Ahmadloo, S Azizi - International Communications in Heat and Mass …, 2016 - Elsevier
This paper presents a 5-input artificial neural network (ANN) model for the prediction of the thermal conductivity ratio of nanofluids to the base fluid (k nf/kf) of various nanofluids based …
There has been in recent years a trend towards adopting deep neural networks for addressing earth science problems. Of the various deep neural networks applied to different …