Machine learning-based CFD simulations: a review, models, open threats, and future tactics

D Panchigar, K Kar, S Shukla, RM Mathew… - Neural Computing and …, 2022 - Springer
This review targets various scenarios where CFD could be used and the logical parts
needed for exemplary computations. The machine learning aspect with algorithms that have …

Statistical modeling and investigation of thermal characteristics of a new nanofluid containing cerium oxide powder

B Ruhani, MT Andani, AM Abed, N Sina, GF Smaisim… - Heliyon, 2022 - cell.com
In this paper, the thermal conductivity (k nf) of cerium oxide/ethylene glycol nanofluid is
extracted for different temperatures (T= 25, 30, 35, 40, 45, and 50° C) and the volume …

Second law analysis of a 3D magnetic buoyancy-driven flow of hybrid nanofluid inside a wavy cubical cavity partially filled with porous layer and non-Newtonian layer

A Abderrahmane, A Mourad, S Mohammed… - Annals of Nuclear …, 2023 - Elsevier
The current paper presents numerical results of the 3D buoyancy-driven flow of a hybrid
nanofluid in a cubical cavity in the presence of a magnetic field. The computational domain …

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 …

[HTML][HTML] Effects of curvature existence, adding of nanoparticles and changing the circular minichannel shape on behavior of two-phase laminar mixed convection of Ag …

S Mir, AM Abed, OA Akbari, A Mohammadian… - Alexandria Engineering …, 2023 - Elsevier
In the present research, heat transfer behavior and Ag/water two-phase laminar nanofluid
flow as cooling fluid in volume fraction of nanoparticles 0–6% and Reynolds numbers of 200 …

A prediction model for CO2 concentration and multi-objective optimization of CO2 concentration and annual electricity consumption cost in residential buildings using …

M Baghoolizadeh, M Rostamzadeh-Renani… - Journal of Cleaner …, 2022 - Elsevier
Environmental pollutants in the air have long been a great threat to the health and life of
human society and the volume of these pollutants is rapidly increasing. Human beings …

[PDF][PDF] Multifactorial analysis of a gateroad stability at goaf interface during longwall coal mining–A case study

D Babets, O Sdvyzhkova, S Hapieiev… - Mining of Mineral …, 2023 - mining.in.ua
Purpose. Creating a generalized algorithm to account for factors (coal seam thickness,
enclosed rock mechanical properties, the dimension and bearing capacity of artificial …

The effect of canard's optimum geometric design on wake control behind the car using Artificial Neural Network and Genetic Algorithm

M Rostamzadeh-Renani, M Baghoolizadeh… - ISA transactions, 2022 - Elsevier
Canard is a cutting-edge aerodynamic attachment for lowering the vehicle's drag coefficient
by efficiently directing the airflow as well as reducing the lift coefficient by enhancing down …

A comprehensive investigation of thermal conductivity in of monolayer graphene, helical graphene with different percentages of hydrogen atom: A molecular dynamics …

H Li, MMA Zahra, BS Bashar, F Fathdal… - Colloids and Surfaces A …, 2023 - Elsevier
Graphene is one of the most important two-dimensional carbon allotropes with a plate
structure similar to honeycomb nets. Due to its high thermal conductivity (TC), it is an …

[HTML][HTML] Numerical modeling of species transport and functional characteristics of a proton exchange membrane fuel cell using an agglomerate model with a multi …

P Barnoon, D Toghraie, B Mehmandoust, MA Fazilati… - Energy Reports, 2022 - Elsevier
In this study, the species transport and functional characteristics of a Proton Exchange
Membrane Fuel Cell (PEMFC) using the agglomerate model are carried out. The modeling …