Analysis of nonlinear complex heat transfer MHD flow of Jeffrey nanofluid over an exponentially stretching sheet via three phase artificial intelligence and Machine …
The aim of this study is to propose an innovative three-phase Artificial Intelligence (AI) and
Machine Learning (ML) techniques for nonlinear dynamics for thermal analysis of …
Machine Learning (ML) techniques for nonlinear dynamics for thermal analysis of …
A comprehensive review of the effects of various factors on the thermal conductivity and rheological characteristics of CNT nanofluids
D Yadav, M Sanserwal - Journal of Thermal Analysis and Calorimetry, 2023 - Springer
CNT-based nanofluids have been shown to have the highest thermal conductivity when
compared to other types of nanofluids. As a result, the CNT-based fluid is now regarded as a …
compared to other types of nanofluids. As a result, the CNT-based fluid is now regarded as a …
[HTML][HTML] Experimental study, prediction modeling, sensitivity analysis, and optimization of rheological behavior and dynamic viscosity of 5W30 engine oil based SiO2 …
M Sepehrnia, K Mohammadzadeh… - Ain Shams Engineering …, 2024 - Elsevier
In this paper, the rheological performance and dynamic viscosity of hybrid nanofluid
containing SiO 2 and multi-walled carbon nanotubes (MWCNTs) nanoparticles (90: 10) with …
containing SiO 2 and multi-walled carbon nanotubes (MWCNTs) nanoparticles (90: 10) with …
An optimal feed-forward artificial neural network model and a new empirical correlation for prediction of the relative viscosity of Al2O3-engine oil nanofluid
M Hemmat Esfe, D Toghraie - Scientific reports, 2021 - nature.com
This study presents the design of an artificial neural network (ANN) to evaluate and predict
the viscosity behavior of Al2O3/10W40 nanofluid at different temperatures, shear rates, and …
the viscosity behavior of Al2O3/10W40 nanofluid at different temperatures, shear rates, and …
CuO/water and Al2O3/water nanofluids as working fluid in an abandoned oil well to improve thermal performance in the seawater desalination process
Abstract Background Abandoned Oil/gas wells could be employed as heat sources for
various technical processes such as seawater desalination. Methods In this study, the …
various technical processes such as seawater desalination. Methods In this study, the …
Experimental study and ANFIS modelling of the thermophysical properties and efficacy of GNP-Al2O3 hybrid nanofluids of different concentrations and temperatures
This study delves into an extensive investigation of the thermophysical properties and heat
transfer efficacy of a hybrid nanofluid incorporating graphene nanoplatelets and γ-Al2O3 …
transfer efficacy of a hybrid nanofluid incorporating graphene nanoplatelets and γ-Al2O3 …
Development and selection of lignocellulose biomass and nano-additive combination for co-pyrolysis operation in power generation using hybrid prediction and …
The burning of carbon rich fuels is associated to be the primary cause of developing large
quantity of greenhouse gases which alters the earth's ecosystem, thereby causing problems …
quantity of greenhouse gases which alters the earth's ecosystem, thereby causing problems …
[PDF][PDF] Rheological behavior of oil-silicon dioxide-multi walled carbon nanotube hybrid nano uid: Experimental study and neural network prediction
M Sepehrnia, K Mohammadzadeh, MH Rozbahani… - 2022 - academia.edu
Hybrid nano uids have great potential for use in thermal systems due to their improved
thermal properties. In this paper, the rheological behavior of oil (5w30)-10% multi walled …
thermal properties. In this paper, the rheological behavior of oil (5w30)-10% multi walled …
Assessment of flow characteristics through a grassed canal
Vegetation is defined as a kind of surface roughness, which reduces the capacity of the
channel and retards the flow by causing loss of energy through turbulence and drag forces …
channel and retards the flow by causing loss of energy through turbulence and drag forces …
An optimal feed-forward artificial neural network model and a new empirical correlation for prediction of the relative viscosity of Al2O3-engine oil nanofluid.
D Toghraie - Scientific Reports, 2021 - europepmc.org
This study presents the design of an artificial neural network (ANN) to evaluate and predict
the viscosity behavior of Al 2 O 3/10W40 nanofluid at different temperatures, shear rates …
the viscosity behavior of Al 2 O 3/10W40 nanofluid at different temperatures, shear rates …