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Toward the Detection of Flow Separation for Operating Airfoils Using Machine Learning

Stahl, Kathrin and Le Floch, Arnaud and Pester, Britta and Ebert, Paul and Suryadi, Alexandre and Hu, Nan and Herr, Michaela (2025) Toward the Detection of Flow Separation for Operating Airfoils Using Machine Learning. International Journal of Turbomachinery, Propulsion and Power, 10 (4). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/ijtpp10040041. ISSN 2504-186X.

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Official URL: https://doi.org/10.3390/ijtpp10040041


Item URL in elib:https://elib.dlr.de/219453/
Document Type:Article
Title:Toward the Detection of Flow Separation for Operating Airfoils Using Machine Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Stahl, KathrinUNSPECIFIEDhttps://orcid.org/0009-0008-2389-1797198203796
Le Floch, ArnaudUNSPECIFIEDhttps://orcid.org/0000-0002-4466-1981198203798
Pester, BrittaUNSPECIFIEDhttps://orcid.org/0009-0002-4060-0433198203799
Ebert, PaulUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Suryadi, AlexandreUNSPECIFIEDhttps://orcid.org/0000-0002-5129-5510UNSPECIFIED
Hu, NanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Herr, MichaelaUNSPECIFIEDhttps://orcid.org/0009-0000-7275-7078198203801
Date:3 November 2025
Journal or Publication Title:International Journal of Turbomachinery, Propulsion and Power
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI:10.3390/ijtpp10040041
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2504-186X
Status:Published
Keywords:aeroacoustic; aerodynamic; flow separation detection; turbulent flow; machine learning; data-driven approach; airfoil; trailing-edge noise; high Reynolds number
HGF - Research field:Energy
HGF - Program:Materials and Technologies for the Energy Transition
HGF - Program Themes:Photovoltaics and Wind Energy
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Wind Energy
Location: Braunschweig , Dresden
Institutes and Institutions:Institute of Software Methods for Product Virtualization > Enabling Software Technologies
Institute for Aerodynamics and Flow Technology > Wind Energy
Deposited By: Pester, Britta
Deposited On:28 Nov 2025 10:26
Last Modified:28 Nov 2025 10:26

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