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Authors:
Bitter, Martin; Kožulović, Dragan 
Document type:
Konferenzbeitrag / Conference Paper 
Title:
Total pressure losses from planar Particle Image Velocimetry data: A practical approach for accurate wake flow assessment at turbomachinery-relevant Mach & Reynolds numbers 
Title of conference publication:
Proceedings of Global Power and Propulsion Society 
Subtitle of conference publication:
GPPS Chania24, September 4-6, 2024 
Organizer (entity):
Global Power & Propulsion Society 
Conference title:
Global Power and Propulsion Technical Conference (2024, Chania) 
Venue:
Chania, Griechenland 
Year of conference:
2024 
Date of conference beginning:
04.09.2024 
Date of conference ending:
06.09.2024 
Publishing institution:
Global Power & Propulsion Society 
Year:
2024 
Pages from - to:
1-12 
Language:
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 
Institute:
LRT 12 - Institut für Strahlantriebe 
Chair:
Kožulović, Dragan 
Open Access yes or no?:
Ja / Yes 
Type of OA license:
https://creativecommons.org/licenses/by/4.0/legalcode 
Miscellaneous:
GPPS-TC-2024-0131