Preparation and evaluation of stable nanofluids for heat transfer application: a review

SK Sharma, SM Gupta - Experimental Thermal and Fluid Science, 2016 - Elsevier
High heat load is becoming a barrier in industrial development. This high heat load can be
overcome by increasing the rate of heat transfer. Heat transfer rate can be increased by …

Viscosity of nanofluids: a review of recent experimental studies

K Bashirnezhad, S Bazri, MR Safaei, M Goodarzi… - … Communications in Heat …, 2016 - Elsevier
During the past decade, nanotechnology with its rapid development has grabbed the
attention of scientists, scholars, and engineers. Nanofluids are one of the surprising …

Rheological behaviour of nanofluids: A review

AK Sharma, AK Tiwari, AR Dixit - Renewable and Sustainable Energy …, 2016 - Elsevier
A colloidal mixture of nanometre-sized (< 100 nm) metallic and non-metallic particles in
conventional fluid is called nanofluid. Nanofluids are considered to be potential heat transfer …

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 …

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 …

Experimental study on the rheological behavior of silver-heat transfer oil nanofluid and suggesting two empirical based correlations for thermal conductivity and …

S Aberoumand, A Jafarimoghaddam, M Moravej… - Applied Thermal …, 2016 - Elsevier
Thermal conductivity and viscosity of nanofluids are the most important parameters that have
to be determined specially, for industrial applications. Therefore, it is beneficial to precisely …

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 review of thermophysical properties of water based composite nanofluids

S Akilu, KV Sharma, AT Baheta, R Mamat - Renewable and Sustainable …, 2016 - Elsevier
The limitation of the conventional fluids to facilitate cooling/heating rates remains the primary
basis for exploring alternative heat transfer nanofluids. Research efforts on nanofluids have …

Designing an artificial neural network to predict dynamic viscosity of aqueous nanofluid of TiO2 using experimental data

MH Esfe, MRH Ahangar, M Rejvani, D Toghraie… - … communications in heat …, 2016 - Elsevier
In this research, the viscosity of the aqueous nanofluid of TiO 2 has been modeled by
artificial neural networks using experimental data. Artificial neural networks are able to …

Progress of nanofluid application in machining: a review

AK Sharma, AK Tiwari, AR Dixit - Materials and Manufacturing …, 2015 - Taylor & Francis
A colloidal mixture of nanometer-sized (< 100 nm) metallic and non-metallic particles in
conventional cutting fluid is called nanofluid. Nanofluids are considered to be potential heat …