Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning

Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning

In this review, we summarize existing trends of flow control used to improve the aerodynamic efficiency of wings. We first discuss active methods to control turbulence, starting with flat-plate geometries and building towards the more complicated flow around wings. Then, we discuss active approaches...

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Bibliographic Details
Main Authors: Ricardo Vinuesa, Oriol Lehmkuhl, Adrian Lozano-Durán, Jean Rabault
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Fluids
Subjects:
turbulence
flow control
simulation
aerodynamics
machine learning
deep reinforcement learning
Online Access:https://www.mdpi.com/2311-5521/7/2/62

Internet

https://www.mdpi.com/2311-5521/7/2/62

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