A machine learning approach to the prediction of transport and thermodynamic processes in multiphysics systems-heat transfer in a hybrid nanofluid flow in porous …

R Alizadeh, JMN Abad, A Ameri, MR Mohebbi… - Journal of the Taiwan …, 2021 - Elsevier
Comprehensive analyses of transport phenomena and thermodynamics of complex
multiphysics systems are laborious and computationally intensive. Yet, such analyses are …

[HTML][HTML] Develop the artificial neural network approach to predict thermal transport analysis of nanofluid inside a porous enclosure

S Nasir, AS Berrouk, T Gul, A Ali - Scientific Reports, 2023 - nature.com
This study explores the impacts of heat transportation on hybrid (Ag+ MgO) nanofluid flow in
a porous cavity using artificial neural networks (Bayesian regularization approach (BRT …

[HTML][HTML] Analysis of transport processes in a reacting flow of hybrid nanofluid around a bluff-body embedded in porous media using artificial neural network and …

JMN Abad, R Alizadeh, A Fattahi… - Journal of Molecular …, 2020 - Elsevier
This paper investigates heat and mass transfer in a hybrid nanofluid flow impinging upon a
cylindrical bluff-body embedded in porous media and featuring homogenous and …

A machine learning approach to predicting the heat convection and thermodynamics of an external flow of hybrid nanofluid

R Alizadeh, JMN Abad, A Fattahi… - Journal of …, 2021 - asmedigitalcollection.asme.org
The experience of leading countries in distributed energy systems (eg, Scandinavian
countries) shows that district cooling systems are highly beneficial techno-economic …

[HTML][HTML] Development of machine learning algorithm for assessment of heat transfer of ternary hybrid nanofluid flow towards three different geometries: case of artificial …

A Mishra, SK Rawat, M Yaseen, M Pant - Heliyon, 2023 - cell.com
The focus of this paper revolves around the examination of flow of ternary hybrid nanofluid,
specifically the Al 2 O 3–Cu-CNT/water mixture, with buoyancy effect, across three distinct …

Response surface methodology (RSM) and artificial neural network (ANN) simulations for thermal flow hybrid nanofluid flow with Darcy-Forchheimer effects

M Alhadri, J Raza, U Yashkun, LA Lund… - Journal of the Indian …, 2022 - Elsevier
The goal of this study is to examine the radiative properties of a C u− A l 2 O 3/water hybrid
nanofluid with respect to joule heating and suction effects over a stretched sheet. The …

Simulation of entropy optimization and thermal behavior of nanofluid through the porous media

Z Shah, M Sheikholeslami, P Kumam - International Communications in …, 2021 - Elsevier
Hydrothermal behavior of hybrid nanomaterial migration from a perforated and wavy
container is analyzed by taking into account the impacts of Lorentz force and constant heat …

Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid

MH Ahmadi, B Mohseni-Gharyehsafa… - Journal of Thermal …, 2020 - Springer
Nanofluids are broadly employed in heat transfer mediums to enhance their efficiency and
heat transfer capacity. Thermophysical properties of nanofluids play a crucial role in their …

[HTML][HTML] Thermal description and entropy evaluation of magnetized hybrid nanofluid with variable viscosity via Crank–Nicolson method

H Hanif, W Jamshed, MR Eid, S Shafie… - Case Studies in Thermal …, 2023 - Elsevier
The dominant characteristics of hybrid nanofluids, such as low cost, improved heat transfer
rates, and higher thermal and electrical conductivity, make them preferable fluids in thermal …

Assessment of entropy generation and heat transfer in three-dimensional hybrid nanofluids flow due to convective surface and base fluids

H Upreti, AK Pandey, M Kumar - Journal of Porous Media, 2021 - dl.begellhouse.com
The entropy generation of hybrid nanofluids flow via a porous stretching surface due to the
influence of thermal radiation, viscous dissipation, and convective boundary conditions is …