Comparative analysis of machine learning methods for active flow control
Machine learning frameworks such as genetic programming and reinforcement learning
(RL) are gaining popularity in flow control. This work presents a comparative analysis of the …
(RL) are gaining popularity in flow control. This work presents a comparative analysis of the …
Machine-learning flow control with few sensor feedback and measurement noise
R Castellanos, GY Cornejo Maceda, I De La Fuente… - Physics of …, 2022 - pubs.aip.org
A comparative assessment of machine-learning (ML) methods for active flow control is
performed. The chosen benchmark problem is the drag reduction of a two-dimensional …
performed. The chosen benchmark problem is the drag reduction of a two-dimensional …
Using deep reinforcement learning for active flow control
M Holm - 2020 - duo.uio.no
We apply deep reinforcement learning (DRL) to reduce and increase the drag of a 2-
dimensional wake flow around a cluster of three equidistantly spaced cylinders, known as …
dimensional wake flow around a cluster of three equidistantly spaced cylinders, known as …
[PDF][PDF] Prospects in machine learning-based flow control for liquid metal coating
F Pino - researchgate.net
The accurate control of liquid film thickness is critical in the hot-dip galvanizing coating
process. This is achieved by impinging gas jets, in a technique called jet wiping. Despite its …
process. This is achieved by impinging gas jets, in a technique called jet wiping. Despite its …