Volume 40 Issue 8
Aug.  2025
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TAN Jianing, ZHOU Zhihong, LIU Huoxing. Uncertainty analysis of turbine nozzle area and turbine characteristic correction based on measured data[J]. Journal of Aerospace Power, 2025, 40(8):20240535 doi: 10.13224/j.cnki.jasp.20240535
Citation: TAN Jianing, ZHOU Zhihong, LIU Huoxing. Uncertainty analysis of turbine nozzle area and turbine characteristic correction based on measured data[J]. Journal of Aerospace Power, 2025, 40(8):20240535 doi: 10.13224/j.cnki.jasp.20240535

Uncertainty analysis of turbine nozzle area and turbine characteristic correction based on measured data

doi: 10.13224/j.cnki.jasp.20240535
  • Received Date: 2024-08-01
    Available Online: 2025-02-27
  • Based on the measured data of throat area and blade surface geometry, the uncertainty distribution of throat area was analyzed by numerical simulation method on the basis of quantitative modeling of surface geometry deviation. Using this as a characteristic correction variable, polynomial fitting was used to establish a turbine characteristic correction method considering the deviation of throat area. The results showed that the dispersion of the high-pressure turbine throat area was between −1.08% and 1.4%, and the average mass flow increased by about 1.813%; when measuring three cross-sections, the maximum measurement area error can reach 3%. Increasing the number of measurement cross-sections can effectively reduce the measurement error; the mass flow rate and efficiency prediction error of the turbine characteristic correction model can be controlled below 2% through stepwise fitting and training verification.

     

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