A comprehensive review on the application of nanofluid in heat pipe based on the machine learning: Theory, application and prediction

X Wang, L Luo, J Xiang, S Zheng, S Shittu… - … and Sustainable Energy …, 2021 - Elsevier
This paper introduces three paramount factors ie viscosity, thermal conductivity and stability
that affect the application of mono and hybrid nanofluids in heat pipes. The applications of …

A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids

M Ramezanizadeh, MH Ahmadi, MA Nazari… - … and Sustainable Energy …, 2019 - Elsevier
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 …

On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment

A Hemmati-Sarapardeh, A Varamesh… - … and Sustainable Energy …, 2018 - Elsevier
Viscosity of nanofluids can significantly affect pumping power, pressure drop, workability of
the nanofluid as well as its convective heat transfer coefficient. Experimental measurements …

[HTML][HTML] The rheological behavior of MWCNTs–ZnO/Water–Ethylene glycol hybrid non-Newtonian nanofluid by using of an experimental investigation

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 viscosity of nanofluids: a review of the theoretical, empirical, and numerical models

JP Meyer, SA Adio, M Sharifpur… - Heat Transfer …, 2016 - Taylor & Francis
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 …

Prediction of nanofluids viscosity using random forest (RF) approach

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 …

Factors affecting the performance of hybrid nanofluids: a comprehensive review

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 …

Viscosity of hybrid nanofluids: a critical review

H Babar, MU Sajid, HM Ali - Thermal Science, 2019 - doiserbia.nb.rs
The remarkable enhancement in heat transfer capabilities of conventional fluids with the
addition of nanosized metallic and non-metallic particles appealed the attention of …

Prediction of thermal conductivity of various nanofluids using artificial neural network

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 …

Deep GMDH neural networks for predictive mapping of mineral prospectivity in terrains hosting few but large mineral deposits

M Parsa, EJM Carranza, B Ahmadi - Natural Resources Research, 2022 - Springer
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 …