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- Authors:
- Bitter, Martin; Kožulović, Dragan
- Document type:
- Zeitschriftenartikel / Journal Article
- Title:
- Total pressure losses from planar Particle Image Velocimetry data: A practical approach for accurate wake flow assessment at turbomachinery-relevant Mach & Reynolds numbers
- Journal:
- Journal of the Global Power and Propulsion Society
- Volume:
- 9
- 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
- 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
- DOI:
- 10.33737/jgpps/205784
- URL:
- https://doi.org/10.33737/jgpps/205784
- Institute:
- LRT 12 - Institut für Strahlantriebe
- Chair:
- Kožulović, Dragan
- Open Access yes or no?:
- Ja / Yes
- Type of OA license:
- CC BY 4.0
- Licence URL:
- https://creativecommons.org/licenses/by/4.0/legalcode
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