Recent trends on nanofluid heat transfer machine learning research applied to renewable energy

T Ma, Z Guo, M Lin, Q Wang - Renewable and Sustainable Energy …, 2021 - Elsevier
Nanofluids have received increasing attention in research and development in the area of
renewable and sustainable energy systems. The addition of a small amount of high thermal …

[HTML][HTML] A review on electrical conductivity of nanoparticle-enhanced fluids

AA Minea - Nanomaterials, 2019 - mdpi.com
This review discusses exclusively the recent research on electrical conductivity of
nanofluids, correlations and mechanisms and aims to make an important step to fully …

An experimental study on characterization, stability and dynamic viscosity of CuO-TiO2/water hybrid nanofluid

A Asadi, IM Alarifi, LK Foong - Journal of Molecular Liquids, 2020 - Elsevier
One of the essential specifications of nanofluids is the rheological behavior that has a
significant effect on the system's performance. The primary objective of the present study is …

[HTML][HTML] Effect of TiO2-Al2O3 nanoparticle mixing ratio on the thermal conductivity, rheological properties, and dynamic viscosity of water-based hybrid nanofluid

VV Wanatasanapan, MZ Abdullah… - Journal of Materials …, 2020 - Elsevier
Many researchers in the past decade have focused on the influence of nanoparticle volume
concentration on the thermophysical properties of hybrid nanofluid. However, less research …

A class of promising fuel cell performance: International status on the application of nanofluids for thermal management systems

AGN Sofiah, J Pasupuleti, M Samykano… - Materials Today …, 2024 - Elsevier
Fuel cell technologies are developed due to their positive impact on the environment and
their ability to empower sustainable energy compared to other power generators. The …

A state-of-the-art review on the utilization of machine learning in nanofluids, solar energy generation, and the prognosis of solar power

SK Singh, AK Tiwari, HK Paliwal - Engineering Analysis with Boundary …, 2023 - Elsevier
In the contemporary data-driven era, the fields of machine learning, deep learning, big data,
statistics, and data science are essential for forecasting outcomes and getting insights from …

A novel comparative analysis between the experimental and numeric methods on viscosity of zirconium oxide nanofluid: Develo** optimal artificial neural network …

AB Çolak - Powder Technology, 2021 - Elsevier
In this study, the viscosity of five different ZrO 2/Water nanofluids of 0.0125%, 0.025%,
0.05%, 0.1% and 0.2% prepared by the two-step method were experimentally investigated …

A review of artificial intelligence methods in predicting thermophysical properties of nanofluids for heat transfer applications

A Basu, A Saha, S Banerjee, PC Roy, B Kundu - Energies, 2024 - mdpi.com
This present review explores the application of artificial intelligence (AI) methods in
analysing the prediction of thermophysical properties of nanofluids. Nanofluids, colloidal …

Thermo-electro-rheological behaviour of vanadium electrolyte-based electrochemical graphene oxide nanofluid designed for redox flow battery

S Aberoumand, P Woodfield, G Shi, TK Nguyen… - Journal of Molecular …, 2021 - Elsevier
The use of electrolyte-based nanofluid is a new approach for enhancing the performance of
Vanadium Redox Flow Batteries (VRFBs). This paper, for the first time in the literature …

[HTML][HTML] Recent progress on stability and thermo-physical properties of mono and hybrid towards green nanofluids

SNM Zainon, WH Azmi - Micromachines, 2021 - mdpi.com
Many studies have shown the remarkable enhancement of thermo-physical properties with
the addition of a small quantity of nanoparticles into conventional fluids. However, the long …