Costantini, Marco und Henne, Ulrich und Risius, Steffen und Klein, Christian (2021) A Robust Method for Reliable Transition Detection in Temperature-Sensitive Paint Data. Aerospace Science and Technology, 113 (06), Seiten 1-10. Elsevier. doi: 10.1016/j.ast.2021.106702. ISSN 1270-9638.
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Offizielle URL: https://doi.org/10.1016/j.ast.2021.106702
Kurzfassung
This work presents a method to automatically detect boundary-layer transition on thermographic images of aerodynamic surfaces, acquired using the temperature-sensitive paint measurement technique. It is applied to surface temperature distributions mapped onto three-dimensional grids representing the surfaces of interest. Motivated and substantiated by earlier work, the transition location is determined at the location corresponding to the maximal value of the streamwise gradient of the surface temperature in the transitional region. The robustness of the transition detection method was proven for a challenging case with low signal to-noise ratio and moderate streamwise temperature gradients. Moreover, the present method was validated against transition data obtained using an uncorrelated transition detection method based on the measurement of surface pressure fluctuations. The developed transition detection algorithm enabled the accurate, reliable, and consistent detection of the transition location under a variety of test conditions, including experiments on natural laminar flow airfoil and wing models at high Reynolds numbers and high subsonic Mach numbers.
elib-URL des Eintrags: | https://elib.dlr.de/142032/ | ||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||
Zusätzliche Informationen: | Article No. 106702 | ||||||||||||||||||||
Titel: | A Robust Method for Reliable Transition Detection in Temperature-Sensitive Paint Data | ||||||||||||||||||||
Autoren: |
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Datum: | 31 März 2021 | ||||||||||||||||||||
Erschienen in: | Aerospace Science and Technology | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Nein | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||
Band: | 113 | ||||||||||||||||||||
DOI: | 10.1016/j.ast.2021.106702 | ||||||||||||||||||||
Seitenbereich: | Seiten 1-10 | ||||||||||||||||||||
Herausgeber: |
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Verlag: | Elsevier | ||||||||||||||||||||
Name der Reihe: | ScienceDirect | ||||||||||||||||||||
ISSN: | 1270-9638 | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | Transition Detection, Boundary Layer, Temperature-Sensitive Paint, Thermography | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||||||
HGF - Programmthema: | Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||||||
DLR - Forschungsgebiet: | L EV - Effizientes Luftfahrzeug | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Virtuelles Flugzeug und Validierung | ||||||||||||||||||||
Standort: | Göttingen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Aerodynamik und Strömungstechnik > Experimentelle Verfahren, GO | ||||||||||||||||||||
Hinterlegt von: | Micknaus, Ilka | ||||||||||||||||||||
Hinterlegt am: | 05 Mai 2021 11:24 | ||||||||||||||||||||
Letzte Änderung: | 02 Mai 2023 15:34 |
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