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Du Chunhua, Wu Ke, Zhang Yanchao, et al. Dynamic leakage calculation of brush seal under hysteresis effect[J]. Journal of Aerospace Power, 2026, 41(X):20260066 doi: 10.13224/j.cnki.jasp.20260066
Citation: Du Chunhua, Wu Ke, Zhang Yanchao, et al. Dynamic leakage calculation of brush seal under hysteresis effect[J]. Journal of Aerospace Power, 2026, 41(X):20260066 doi: 10.13224/j.cnki.jasp.20260066

Dynamic leakage calculation of brush seal under hysteresis effect

doi: 10.13224/j.cnki.jasp.20260066
  • Received Date: 2026-02-08
    Available Online: 2026-05-30
  • To accurately predict the leakage characteristics of brush seals, this study developed a dynamic leakage prediction method considering hysteresis effects. The brush pack region was equivalently treated as a porous medium, and a dynamic leakage prediction model for brush seals considering hysteresis effects was established. The calculation methods for key parameters in the model, including the viscous loss coefficient, inertial loss coefficient, and porosity, were clarified, and the accuracy of the model was validated using an ultra-high-speed brush seal test rig. The proposed method was used to investigate the causes of leakage differences during acceleration and deceleration processes, as well as the effects of operating conditions and structural parameters on the hysteresis and leakage characteristics of brush seals. The results showed that the numerical predictions of leakage characteristics considering hysteresis effects agreed well with the experimental results, with a maximum error of 8.6%. Among operating parameters, an increase in inlet pressure increased the leakage and significantly intensified the hysteresis effect. Among structural parameters, increasing the bristle diameter weakened the hysteresis effect but led to higher leakage, whereas decreasing the bristle height and bristle arrangement angle simultaneously weakened the hysteresis effect and reduced the leakage. The findings of this study provide methods and a theoretical basis for the accurate prediction and performance improvement of brush seal leakage characteristics.

     

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