叶片安装角偏差对动叶性能影响的不确定性研究

In order to reveal the influence of the blade stagger angle deviation on the performance of the compressor, based on the non-intrusive polynomial chaos method and numerical simulation, NASA Rotor37 was chosen as a research object to study the influence of the uncertainty of blade stagger angle deviation. Statistical analyses of aerodynamic performance were carried out under peak efficiency and near stall conditions, respectively. Monte Carlo method was used to generate samples, and the mean, standard deviation and probability distribution of different output parameters were obtained. The correlation analysis between performance parameters and stagger angle deviation was discussed. The influence of blade stagger angle deviation fluctuation on the internal flow field was studied in depth. The results show that the influence of the stagger angle deviation on the aerodynamic performance is related to the working conditions, and the adi-abatic efficiency is more sensitive to the stagger angle deviation under the near-stall conditions. The relative fluctuation range of adiabatic efficiency under the near-stall conditions is increased by 22. 95% compared with that under the peak efficiency condition. The total pressure ratio has a strong linear negative correlation with the stagger angle deviation, and the adiabatic efficiency has a strong linear positive correlation with the stagger angle deviation. The sensitive area of the flow field is different under different working conditions. Under the peak efficiency conditions, the shock wave and the tip clearance leakage flow track after shock wave are greatly affected by the uncertainty of stagger angle. Under the near-stall conditions, the tip leakage vortex breakup area and the separation flow on the suction surface are more sensitive to the uncertainty of the stagger angle. The loss in different regions of the flow field is affected by the stagger angle deviation, and the loss at the trailing edge is most sensitive to the uncertainty of the stagger angle deviation.