DOI: 10.1115/1.4063279 ISSN:

Compressor Surge Precursors For A Turbocharger Coupled To A Pressure Vessel

Paolo Silvestri, Carlo Alberto Niccolini Marmont Du Haut Champ, Federico Reggio, Mario L. Ferrari, Aristide Fausto Massardo
  • Mechanical Engineering
  • Energy Engineering and Power Technology
  • Aerospace Engineering
  • Fuel Technology
  • Nuclear Energy and Engineering

Abstract

High-speed centrifugal compressors may be exploited to pressurize fuel cell systems. Nonetheless, due to fuel cells significant interposed volumes, compressor behavior can lead to severe vibrations related to fluid-dynamic instabilities during part load operating conditions. In particular, surge strongly limits centrifugal compressors stable operating region when moving towards low mass flow rates due to a change in system working point. Therefore, compressor dynamic response must be adequately characterized for early surge detection. To this aim, a dedicated experimental activity was conducted on a vaneless diffuser turbocharger coupled to a solid oxide fuel cell emulator plant; compressor evolution towards surge was investigated. Several signal processing techniques were applied to pressure signals as well as vibro-acoustic responses to better predict compressor behavior and classify its status as stable or unstable.

Cepstrum, cross-correlation and wavelet transform have been identified as suitable techniques to define precursors able to early detect surge. By means of cross-correlation function, propagation phenomena in the ducts can be investigated to assess how they interact near compressor low-mass flow rate unstable conditions. Cepstrum provides a convenient way to determine pressure signal spectrum distortion in terms of further periodic components onset. These harmonic components are due to complex system responses generated by transient phenomena; indeed, cepstrum allows to identify hidden anomalous contributions in system response spectra which may arise in incipient surge conditions. Wavelet transform was performed on both structural and pressure response signals to observe their dominant energy contents temporal evolution.

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