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Autoren:
Bitter, Martin; Kožulović, Dragan 
Dokumenttyp:
Konferenzbeitrag / Conference Paper 
Titel:
Total pressure losses from planar Particle Image Velocimetry data: A practical approach for accurate wake flow assessment at turbomachinery-relevant Mach & Reynolds numbers 
Titel Konferenzpublikation:
Proceedings of Global Power and Propulsion Society 
Untertitel Konferenzpublikation:
GPPS Chania24, September 4-6, 2024 
Veranstalter (Körperschaft):
Global Power & Propulsion Society 
Konferenztitel:
Global Power and Propulsion Technical Conference (2024, Chania) 
Tagungsort:
Chania, Griechenland 
Jahr der Konferenz:
2024 
Datum Beginn der Konferenz:
04.09.2024 
Datum Ende der Konferenz:
06.09.2024 
Verlegende Institution:
Global Power & Propulsion Society 
Jahr:
2024 
Seiten von - bis:
1-12 
Sprache:
Englisch 
Abstract:
This work presents a hybrid approach for determining total pressure fields, which were reconstructed from Particle Image Velocimetry data and whose accuracy was raised through in-situ correction with probe-based reference data. The quality of this general approach is validated for turbomachinery-relevant Mach and Reynolds numbers using a cylinder in crossflow as a test case. Furthermore, the approach is applied to investigate the total pressure losses in the wake of a low-pressure turbine cascade. It is shown that the hybrid approach delivers total pressure loss fields over a wide Reynolds and Mach number range, which deviate from the highly accurate integral loss coefficients of a conventional loss traverse with probe-based measurement techniques for compressible flows by an absolute maximum of less than 2 %, but which delivers results at a much higher level of spatial resolution. For incompressible flows, the deviations are almost negligible at < 1%. The paper presents and discusses the exact methodology for both, the collection of experimental data and the outline of the developed approach. 
ISSN:
2504-4400 
Institut:
LRT 12 - Institut für Strahlantriebe 
Professur:
Kožulović, Dragan 
Open Access ja oder nein?:
Ja / Yes 
Art der OA-Lizenz:
https://creativecommons.org/licenses/by/4.0/legalcode 
Sonstige Angaben:
GPPS-TC-2024-0131