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] A novel empirical equation for the effective viscosity of nanofluids based on theoretical and empirical results

M Klazly, G Bognár - International Communications in Heat and Mass …, 2022 - Elsevier
In practice, nanofluids' thermal conductivity and viscosity are the most important parameters
in engineering applications. Viscosity affects pumping performance. Theoretical viscosity …

Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)

E Heidari, MA Sobati, S Movahedirad - Chemometrics and intelligent …, 2016 - Elsevier
Viscosity is a significant physical property of nanofluids in practical heat transfer
applications. No general model is capable for accurate prediction of nanofluid viscosity in a …

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 …

A comprehensive study of effect of concentration, particle size and particle shape on thermal conductivity of titania/water based nanofluid

PB Maheshwary, CC Handa, KR Nemade - Applied Thermal Engineering, 2017 - Elsevier
Detailed experimental study is performed to investigate the effect of concentration, particle
size and shape on thermal conductivity of TiO 2-water based nanofluid. In this work …

[HTML][HTML] Predicting the effective viscosity of nanofluids based on the rheology of suspensions of solid particles

DS Udawattha, M Narayana… - Journal of King Saud …, 2019 - Elsevier
The development of nanofluid as an innovative class of thermal fluid subsequently inspired
use in their engineering applications. As a result, the necessity of experimental work to …

Computational assessment of Nano-particulate (Al2O3/Water) utilization for enhancement of heat transfer with varying straight section lengths in a serpentine tube …

M Awais, M Saad, H Ayaz, MM Ehsan… - Thermal Science and …, 2020 - Elsevier
A CFD-approach was employed for extensive exploration of thermo-hydraulic performance
of serpentine tube heat exchanger (STHX). The prominent focus was given to the …

An accurate RBF-NN model for estimation of viscosity of nanofluids

A Barati-Harooni, A Najafi-Marghmaleki - Journal of Molecular Liquids, 2016 - Elsevier
Viscosity is one of the most important properties of nanofluids which play an important role in
many applications of these fluids. There is no general model or equation for reliable …

Prediction of graphite nanofluids' dynamic viscosity by means of artificial neural networks

AS Dalkilic, A Çebi, A Celen, O Yıldız, O Acikgoz… - … Communications in Heat …, 2016 - Elsevier
Recently, nanofluids have been studied extensively by the researchers as a result of the
developments in nanotechnology. It is essential for researchers to know nanofluids' physical …

Comparative analysis of machine learning models for nanofluids viscosity assessment

M Shateri, Z Sobhanigavgani, A Alinasab, A Varamesh… - Nanomaterials, 2020 - mdpi.com
The process of selecting a nanofluid for a particular application requires determining the
thermophysical properties of nanofluid, such as viscosity. However, the experimental …