@inproceedings{,
    author = {Bitter, Martin; Kožulović, Dragan},
    title = {Total pressure losses from planar Particle Image Velocimetry data: A practical approach for accurate wake flow assessment at turbomachinery-relevant Mach & Reynolds numbers},
    editor = {},
    booktitle = {Proceedings of Global Power and Propulsion Society : GPPS Chania24, September 4-6, 2024},
    series = {},
    journal = {},
    address = {},
    publisher = {Global Power & Propulsion Society},
    edition = {},
    year = {2024},
    isbn = {},
    volume = {},
    number =  {},
    pages = {1-12},
    url = {https://gpps.global/wp-content/uploads/2024/09/GPPS-TC-2024_paper_131.pdf},
    doi = {},
    keywords = {},
    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.},
    note = {},
    
    
    
}