叶片厚度偏差对转子性能影响的不确定性分析

Translated title of the contribution: Uncertainty analysis of impact of blade thickness deviation on rotor performance

Tianyuan Ji, Wuli Chu, Zhenhua Zhang, Huayin Chen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In order to study the impact of blade thickness deviation on rotor performance, the Rotor37 was taken as the research object and non-intrusive polynomial chaos was used as uncertainty quantification method to evaluate the uncertainty impact of blade thickness deviation on rotor aerodynamic performance and flow field structure. The results showed that for the blade group with symmetric probability distribution of thickness deviation and mean value of 0, the average level of aerodynamic performance almost unchanged compared with the prototype blade, and the fluctuation degree of aerodynamic parameters was positively correlated with the standard deviation of the thickness deviation probability distribution. The linear correlation between rotor performance change and thickness deviation was strong when machining accuracy was higher. In the meantime, the impact of thickness deviation of blade suction and pressure surface on rotor aerodynamic performance was obviously different. The suction surface thickness deviation had a greater impact on isentropic efficiency and mass flow rate, while the thickness deviation of pressure surface had a more obvious impact on the total pressure ratio characteristics of rotor, and the uncertain impacts of these two on rotor performance alone were partially cancelled out when they worked together.

Translated title of the contributionUncertainty analysis of impact of blade thickness deviation on rotor performance
Original languageChinese (Traditional)
Article number20220203
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume39
Issue number11
DOIs
StatePublished - Nov 2024

Fingerprint

Dive into the research topics of 'Uncertainty analysis of impact of blade thickness deviation on rotor performance'. Together they form a unique fingerprint.

Cite this