Stall Detection Using Pseudo-Acoustic Pressure Modulation in Industrial Fans

Authors

  • Alessandro Corsini
    Affiliation

    Sapienza University of Rome Dept of Mechanical and Aerospace Engineering

  • Sara Feudo
  • Cecilia Tortora
  • Graziano Ullucci
https://doi.org/10.3311/PPme.8006

Abstract

This work investigates the use of unconventional sensors to measure pressure modulation interpreted as pseudo sound in the near field on the casing of a fan in a view to detect rotating stall. Rotating stall is an aerodynamic issue with a frequency signature usually half the rotor frequency. In low speed turbomachines, such as industrial fans, this turns in very low frequencies, even lower than 10 Hz.Traditional methods use piezoelectric sensors, e.g., pressure transducers or microphones, respectively in the near and far-field, to detect instability from the signal patterns with broad frequency ranges. Recently electret microphones have been proposed, but with a cut-off frequency of 20 Hz as such not suitable for signal in near infrasound region.The sensor used in this work, have a narrower frequency range than more advanced technologies. The authors developed and set-up a measurement system able to acquire low frequency pressure signals using dynamic microphones.In this paper the authors developed a measurement chain based on dynamic microphone and pressure transducer in order to create a stall warning system. They tested the system on a low speed axial fan and they validated the work against state of the art acoustic control techniques. For this reason those devices represent candidate solutions for the detection of the patterns typical of rotating stall in turbomachines.

Keywords:

DIY pressure sensors, Stall detection, Axial fan, Dynamic chaotic systems, Pattern recognition

Published Online

2015-10-01

How to Cite

Corsini, A., Feudo, S., Tortora, C., Ullucci, G. “Stall Detection Using Pseudo-Acoustic Pressure Modulation in Industrial Fans”, Periodica Polytechnica Mechanical Engineering, 59(4), pp. 153–163, 2015. https://doi.org/10.3311/PPme.8006

Issue

Section

Articles