Wind Energy Science
Wind Energy Science
WES
Articles | Volume 5, issue 2
Articles | Volume 5, issue 2
https://doi.org/10.5194/wes-5-819-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-5-819-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 5, issue 2
Research article
 | 
29 Jun 2020
Research article |  | 29 Jun 2020

Cartographing dynamic stall with machine learning

Matthew Lennie, Johannes Steenbuck, Bernd R. Noack, and Christian Oliver Paschereit

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Latest update: 22 Nov 2024
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Short summary
This study presents a marriage of unsteady aerodynamics and machine learning. When airfoils are subjected to high inflow angles, the flow no longer follows the surface and the flow is said to be separated. In this flow regime, the forces experienced by the airfoil are highly unsteady. This study uses a range of machine learning techniques to extract infomation from test data to help us understand the flow regime and makes recomendations on how to model it.
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