Volume 41 Issue 9
Oct.  2026
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Jing Yanyang, Ren Sanqun, Zhao Wei, et al. Experimental study on the evolution process of single-stage fan mild surge and the surge identification method by cross-correlation time-frequency analysis[J]. Journal of Aerospace Power, 2026, 41(9):20240793 doi: 10.13224/j.cnki.jasp.20240793
Citation: Jing Yanyang, Ren Sanqun, Zhao Wei, et al. Experimental study on the evolution process of single-stage fan mild surge and the surge identification method by cross-correlation time-frequency analysis[J]. Journal of Aerospace Power, 2026, 41(9):20240793 doi: 10.13224/j.cnki.jasp.20240793

Experimental study on the evolution process of single-stage fan mild surge and the surge identification method by cross-correlation time-frequency analysis

doi: 10.13224/j.cnki.jasp.20240793
  • Received Date: 2024-11-22
    Available Online: 2026-07-02
  • To obtain the internal flow characteristics and develop a method for identifying flutter instability in single-stage fans, dynamic pressure sensors were installed at the inlet and outlet sections, and the fan was subjected to forced flutter experimental by controlling the throttle valve opening at different speeds. The dynamic pressure data during the fan’s rotational stall and flutter were obtained. The rotational stall and flutter characteristics and the evolution process of flutter were analyzed by combining time-domain signals and frequency-domain signals. The experimental results show that when the fan experiences flutter at different speeds, the stall vortex is produced, developed, and dissipated; during the throttling flutter process, there is a transition period during which the fan transitions from rotational stall to flutter, and there is also a 1—2 cycle recovery process when exiting flutter; there are mild flutter phenomena at all speeds, which are caused by the gas compression in the flutter process that leads to a lag effect upstream and downstream, and the flutter evolution process of the fan is simplified into an equivalent force mechanical model for analysis. The mutual correlation analysis between sensors at the same circumferential and different axial positions is proposed based on the equivalent force mechanical model, and a flutter monitoring and identification method based on mutual correlation time-frequency analysis is developed. This study provides a basis for obtaining the rotational stall and flutter evolution process of the fan, as well as online monitoring and fault analysis of flutter. However, due to experimental conditions, additional dynamic pressure sensors were not installed, and more details about the rotational stall and flutter process could not be obtained.

     

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