A novel integrated model to improve the dynamic viscosity of MWCNT-Al2O3 (40: 60)/Oil 5W50 hybrid nano-lubricant using artificial neural networks (ANNs)

MH Esfe, R Esmaily, MK Khabaz, A Alizadeh… - Tribology …, 2023 - Elsevier
In this study, a unique incorporated version is presented to enhance the dynamic viscosity of
MWCNT-Al 2 O 3 (40: 60)/Oil 5W50 hybrid nanofluid (HNF) the usage of the 3 maximum vast …

Thermal conductivity prediction of WO3-CuO-Ag (35: 40: 25)/water hybrid ternary nanofluid with Artificial Neural Network and back-propagation algorithm

C Lin, J Zhou, Q Lu, MK Khabaz, AK Andani… - Materials Today …, 2023 - Elsevier
One way to enhance the thermal conduction process in heating systems is to attach
substances with high thermal conductivity (TC) to the base fluids. The interesting properties …

Obtaining an accurate prediction model for viscosity of a new nano-lubricant containing multi-walled carbon nanotube-titanium dioxide nanoparticles with oil SAE50

Y Zhang, KA Hammoodi, SM Sajadi, Z Li, DJ Jasim… - Tribology …, 2024 - Elsevier
This study aims to investigate the viscosity behavior of multi-walled carbon nanotube
(MWCNT)-titanium dioxide (TiO 2)(40− 60)-SAE50 oil nanofluid using an Artificial Neural …

[HTML][HTML] Properties of Al2O3-MWCNT/radiator coolant hybrid nanofluid for solar energy applications

RM Mostafizur, MG Rasul, MN Nabi, G Saianand - Energy Reports, 2022 - Elsevier
As a unique approach to enhance the heat transfer properties of fluids with the inclusion of
multiple solid particles with sizes less than 100 nm is called hybrid nanofluids (HNF). Due to …

Designing the best ANN topology for predicting the dynamic viscosity and rheological behavior of MWCNT-CuO (30: 70)/SAE 50 nano-lubricant

MH Esfe, M Hajian, R Esmaily, SA Eftekhari… - Colloids and Surfaces A …, 2022 - Elsevier
Heat transfer optimization has a special priority in all industries. Nanoparticles dramatically
develop the thermophysical properties of the base fluid when they are suspended uniformly …

Artificial neural network modeling of thermal characteristics of WO3-CuO (50: 50)/water hybrid nanofluid with a back-propagation algorithm

Y Qu, DJ Jasim, SM Sajadi, S Salahshour… - Materials Today …, 2024 - Elsevier
Thermophysical properties such as thermal conductivity (k nf) make the use of fluid suitable
for heat transfer. Fluids such as water have limited applications due to their low thermal …

[HTML][HTML] Dynamic viscosity modeling of nanofluids with MgO nanoparticles by utilizing intelligent methods

BM Fadhl, BM Makhdoum, A Ma'arif, I Suwarno… - Energy Reports, 2023 - Elsevier
Nanofluids, as the fluids with modified thermal characteristics, are usable for improving the
efficiency of renewable energy systems and enhancement of thermal management …

[HTML][HTML] Comparison of standalone and hybrid machine learning models for prediction of critical heat flux in vertical tubes

RZ Khalid, A Ullah, A Khan, A Khan, MH Inayat - Energies, 2023 - mdpi.com
Critical heat flux (CHF) is an essential parameter that plays a significant role in ensuring the
safety and economic efficiency of nuclear power facilities. It imposes design and operational …

[HTML][HTML] Optimisation of artificial intelligence models and response surface methodology for predicting viscosity and relative viscosity of GNP-alumina hybrid nanofluid …

A Borode, P Olubambi - The Journal of Supercomputing, 2024 - Springer
The viscosity properties of GNP-alumina hybrid nanofluids are of significant importance in
various engineering applications. This study compares the predictive performance of …

The key role of interfacial non-bonding interactions in regulating lubricant viscosity using nanoparticles

P Yue, Y Zhang, S Zhang, J Jia, K Han, N Song - Tribology International, 2023 - Elsevier
The feasibility of using nanoparticles (NPs) as lubricant viscosity modifiers has attracted
considerable attention as they can increase/decrease the lubricant viscosity. However, due …