In a fan/compressor, the pass of the blade is a periodic event and this periodicity deteriorates when rotating stall is gradually approached. The present work studies this periodicity of the pressure signal and explains when and why this periodicity deterioration happens from the perspective of the aeroacoustic principle. A theoretical analysis shows that the change of blade circulation has a close association with rotating stall and can be reflected on the periodicity deterioration of pressure signals sampled by a near-field dynamic pressure sensor located on the casing wall. A defined parameter Rc, which can revalue this periodicity, has the potential to be a stall-warning criterion. Then, a stall-warning approach is developed in terms of this feature. The values of Rc are calculated by the pressure signals of several blade pitches based on the current and the previous shaft periods. Statistical estimations are conducted on Rc within statistical windows by calculating the probabilities of Rc less than a threshold. The relevant experiments are carried out on a low-speed compressor, a transonic compressor, and a low-speed fan. The results show that the proposed approach has the capability of generating a stall-warning signal sufficiently in advance of the modal wave and spike in turbomachinery.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Stall-Warning Approach Based on Aeroacoustic Principle



    Erschienen in:

    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.50 Luftfahrzeugtechnik / 55.50
    Lokalklassifikation TIB:    770/7040




    Stall-Warning Approach Based on Aeroacoustic Principle

    Li, Fanyu / Li, Jun / Dong, Xu et al. | AIAA | 2016


    Computational Aeroacoustic Analysis of Airfoil Sections in Deep Stall

    Nataraj, Prakyath Pindi / Ravishankara, Akshay Koodly / Ozdemir, Huseyin et al. | AIAA | 2023


    Computational Aeroacoustic Analysis of Airfoil Sections in Deep Stall

    Nataraj, Prakyath Pindi / Ravishankara, Akshay Koodly / Ozdemir, Huseyin et al. | TIBKAT | 2023


    STALL WARNING INSTRUMENT

    SAE Technical Papers | 2022