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September 12, 2025Journal of Engineering for Gas Turbines and Power2 citations

Stall inception transition mechanism and warning investigation on a highly loaded axial compressor with radial inlet distortion

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YLYang LiuJDJuan DuZFZhonggang Fan

Key Points

  • Modal wave stall inception transitions to spike under tip radial distortion, influencing stall dynamics.
  • Flow separation and tip leakage vortex interactions lead to different stall types, highlighting the complexity of compressor behavior.
  • Auto-correlation and wavelet analyses reveal increasing unsteadiness in blade tip region during stall, which could inform warning systems.
  • Stall warning signals differ between uniform and distorted inflow conditions, emphasizing the need for tailored strategies.

Abstract

Abstract In a highly loaded axial-flow compressor, the type of stall inception transitions from a modal wave to a spike under tip radial distortion, while it remains a modal wave under hub radial distortion. We conducted an experimental investigation using high-resolution pressure measurements in the rotor blade tip region. Under uniform inflow and hub distortion, blade loading is highest at the mid-chord region and gradually shifts toward the leading edge as throttling progresses. In this scenario, large-scale flow separation develops on the blade suction side, followed by the emergence of unsteady tip leakage vortex. The onset of modal wave stall inception is found to be associated with the interaction between flow separation and tip leakage vortex, ultimately leading to leading-edge vortex spillage and subsequent rotating stall. When the inflow is distorted in the tip region, blade loading increases significantly and becomes concentrated near the leading edge. Thus, the unsteadiness of the tip leakage vortex intensifies, triggering tip leakage vortex spillage and the onset of classic spike-type stall inception. Given the distinct flow characteristics under uniform and distorted inflow conditions, we analyzed stall warning signals using auto-correlation and fast wavelet methods. Our results show that the auto-correlation coefficient gradually decreases, while the wavelet coefficient increases, revealing that unsteadiness in the blade tip region—originating from flow separation or tip leakage vortex?intensifies as throttling continues. Our investigation enhances better understanding of two typical stall inception mechanisms and provides valuable insights into stall warning strategies.

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Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68d44b2231b076d99fa53fe9https://doi.org/10.1115/1.4069738
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