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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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WES | Articles | Volume 5, issue 2
Wind Energ. Sci., 5, 819–838, 2020
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: Wind Energy Science Conference 2019

Wind Energ. Sci., 5, 819–838, 2020
https://doi.org/10.5194/wes-5-819-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 29 Jun 2020

Research article | 29 Jun 2020

Cartographing dynamic stall with machine learning

Matthew Lennie et al.

Model code and software

VortexCNN M. Lennie and J. Steenbuck https://doi.org/10.5281/zenodo.3909028

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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.
This study presents a marriage of unsteady aerodynamics and machine learning. When airfoils are...
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