Complex engine intakes are susceptible to unsteady flow distortions that may compromise the propulsion system operability. Hence, the need for high spatial and temporal resolution flow information is essential to aid the development of distortion-tolerant closely coupled propulsion systems. Stereoscopic particle image velocimetry methods have been successfully applied to these flows, offering synchronous velocity datasets of high spatial resolution across the aerodynamic interface plane. However, the total pressure distortion measurements are still typically provided by low bandwidth intrusive total pressure rakes of low spatial resolution, which results in limited characterization of the total pressure distortion. This limitation can potentially be addressed by pressure field reconstruction from non-intrusive high resolution velocity data. A range of reconstruction methods is assessed based on representative data from steady and unsteady computational simulations of an S-duct configuration. In addition to the reconstructed total pressure field, the impact on the key distortion metrics is assessed. The effect of the Mach number is considered. Overall, the reconstruction methods show that the distortion metrics can be determined with sufficient accuracy to indicate that there is a potential benefit from exploiting high resolution velocity measurements in evaluating total pressure distortion.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Pressure Flowfield and Inlet Flow Distortion Metrics Reconstruction from Velocity Data



    Published in:

    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.50 Luftfahrzeugtechnik / 55.60 Raumfahrttechnik / 55.60 / 50.93 / 55.50 / 50.93 Weltraumforschung
    Local classification TIB:    770/7040




    Pressure Flowfield and Inlet Flow Distortion Metrics Reconstruction from Velocity Data

    Zachos, Pavlos K. / Frascella, Michele / MacManus, David G. et al. | AIAA | 2017


    Pressure flow field and inlet flow distortion metrics reconstruction from velocity data

    Frascella, Michele / Zachos, Pavlos / Gil-Prieto, Daniel et al. | AIAA | 2016


    Inlet flow distortion

    Wyatt, D. D. / Obery, L. J. / Piercy, T. G. et al. | NTRS | 1955


    Inlet flow distortion

    Wyatt, D. D. / Obery, L. J. / Piercy, T. G. et al. | NTRS | 1955