An updated review on application of nanofluids in heat exchangers for saving energy

Towards hybrid nanofluids: Preparation, thermophysical properties, applications, and challenges

Effects of temperature and nanoparticles concentration on rheological behavior of Fe3O4–Ag/EG hybrid nanofluid: An experimental study

An experimental study on thermal conductivity of F-MWCNTs–Fe3O4/EG hybrid nanofluid: Effects of temperature and concentration

Hybrid nanofluids for heat transfer applications – A state-of-the-art review

https://research.iaun.ac.ir/pd/afrand/pdfs/PaperM_7807.pdf

An experimental study on rheological behavior of non-Newtonian hybrid nano-coolant for application in cooling and heating systems

These days, the importance of energy consumption has led scientists to optimize thermal devices. One of the solutions proposed for this purpose is using solid nanoparticles to amend the thermal properties of conventional fluids. Adding the nanoparticles into the foundation fluids results in an improvement in the fluid properties (thermal conductivity, viscosity, etc.). Nanofluid (NF) has been drawing attention in various engineering applications in the past decade due to its superior heat transfer characteristics than the conventional working fluid. In recent years, the researchers have focused on adding two or more nanoparticles into foundation fluids, known as hybrid nanoparticles. Hybrid nanofluids (HNFs) suggest a more appropriate heat transfer performance and thermophysical features than the conventional heat transfer fluids (ethylene glycol, water and oil) and even NFs with single nanoparticles. It was proven that HNF can be an alternative to the single NF, since it can provide more heat transfer enhancement, particularly in the context of the solar energy, electromechanical, HVAC, electromechanical and automobile. In the current research, the properties, preparation and stability of HNFs are investigated. Also, some models and correlations for predicting HNFs properties are presented.

A review on the properties, preparation, models and stability of hybrid nanofluids to optimize energy consumption

Measuring the viscosity of Fe3O4-MWCNTs/EG hybrid nanofluid for evaluation of thermal efficiency: Newtonian and non-Newtonian behavior

Evaluating the effects of different parameters on rheological behavior of nanofluids: A comprehensive review

In this paper, at the first, new correlations were proposed to predict the rheological behavior of MWCNTs–SiO2/EG–water non-Newtonian hybrid nanofluid using different sets of experimental data for the viscosity, consistency and power law indices. Then, based on minimum prediction errors, two optimal artificial neural network models (ANNs) were considered to forecast the rheological behavior of the non-Newtonian hybrid nanofluid. One hundred and ninety-eight experimental data were employed for predicting viscosity (Model I). Two sets of forty-two experimental data also were considered to predict the consistency and power law indices (Model II). The data sets were divided to training and test sets which contained respectively 80 and 20% of data points. Comparisons between the correlations and ANN models showed that ANN models were much more accurate than proposed correlations. Moreover, it was found that the neural network is a powerful instrument in establishing the relationship between a large numbers of experimental data. Thus, this paper confirmed that the neural network is a reliable method for predicting the rheological behavior of non-Newtonian nanofluids in different models.

Prediction of rheological behavior of MWCNTs–SiO 2 /EG–water non-Newtonian hybrid nanofluid by designing new correlations and optimal artificial neural networks

Hamed Eshgarf

Papers

An experimental study on rheological behavior of non-Newtonian hybrid nano-coolant for application in cooling and heating systems

A review on the properties, preparation, models and stability of hybrid nanofluids to optimize energy consumption

Measuring the viscosity of Fe3O4-MWCNTs/EG hybrid nanofluid for evaluation of thermal efficiency: Newtonian and non-Newtonian behavior

Evaluating the effects of different parameters on rheological behavior of nanofluids: A comprehensive review

Prediction of rheological behavior of MWCNTs–SiO 2 /EG–water non-Newtonian hybrid nanofluid by designing new correlations and optimal artificial neural networks