Reconstruction of flow field with missing experimental data of a circular cylinder via machine learning algorithm
In this study, artificial neural networks (ANNs) have been implemented to recover missing
data from the particle image velocimetry (PIV), providing quantitative measurements of …
data from the particle image velocimetry (PIV), providing quantitative measurements of …
Flow characteristics and passive flow control of circular cylinders with triangular vortex generators: An experimental investigation
MH Aksoy - Applied Ocean Research, 2024 - Elsevier
Optimizing flow patterns around cylinders is crucial for diverse engineering applications,
aiming to mitigate vibrations induced by vortex shedding and minimize drag. Strategies …
aiming to mitigate vibrations induced by vortex shedding and minimize drag. Strategies …
Enhancing hydrofoil velocity estimation through residual learning
Y Xu, Y Sha, C Wang, Y Wei - Physics of Fluids, 2024 - pubs.aip.org
Recovering flow states from limited observations provides supports for flow control and
super-resolution. Advances in deep learning have made it possible to construct precise state …
super-resolution. Advances in deep learning have made it possible to construct precise state …
Machine learning approach to predict flow fields induced by internal solitary waves acting on mid-water structures based on particle image velocimetry experiments
X Zhen, Y Lv, Y Luo, C Huang, C Chen - Ocean Engineering, 2024 - Elsevier
Mid-water structures (MWSs) have important applications in the ocean to minimize the
effects of environmental factors in the surface ocean and to avoid the effects of high pressure …
effects of environmental factors in the surface ocean and to avoid the effects of high pressure …
Application of an artificial intelligence model for natural convection of nano-encapsulated phase change materials (NEPCMs) confined in a porous square enclosure …
This work examines the thermal behavior and performance of a porous enclosure filled with
Nano-Encapsulated Phase Change Materials (NEPCMs) using an artificial intelligence …
Nano-Encapsulated Phase Change Materials (NEPCMs) using an artificial intelligence …
Neural network modeling of non-Newtonian NEPCMs suspension in a non-Darcy porous medium under LTNE conditions
Background Analyzing buoyancy-driven convection in porous media has numerous
applications in chemical processing and geothermal energy extraction. The complication of …
applications in chemical processing and geothermal energy extraction. The complication of …
Experimental study on cylinder wake control using forced rotation
The study focused on the flow over a rotating circular cylinder in the context of flow control.
Particle Image Velocimetry was employed to examine flow characteristics at 2.5× 10 3≤ …
Particle Image Velocimetry was employed to examine flow characteristics at 2.5× 10 3≤ …
Aerodynamics effects of rear-mounted porous plate in cylindrical flow at different Reynold numbers
This paper conducts simulations to analyze the flow control characteristics of cylindrical flow
over porous plates in the subcritical regime, utilising large-eddy simulation (LES) coupled …
over porous plates in the subcritical regime, utilising large-eddy simulation (LES) coupled …
Flow data forecasting for the junction flow using artificial neural network
The present study aims to predict the flow characteristics downstream of a cylinder, which is
the result of junction flow using an Artificial Neural Network (ANN) algorithm. The training …
the result of junction flow using an Artificial Neural Network (ANN) algorithm. The training …
Estimation of Flow Features in the Wake of a Circular Cylinder Using Artificial Neural Network
Accurate estimation of the flow features passing around a cylinder's surface plays a crucial
role in scientific and industrial applications to save time and financial costs. In this study …
role in scientific and industrial applications to save time and financial costs. In this study …