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整级环境下涡轮叶片型面加工几何偏差影响的不确定性分析
引用本文:王小京,邹正平.整级环境下涡轮叶片型面加工几何偏差影响的不确定性分析[J].推进技术,2022,43(3):104-111.
作者姓名:王小京  邹正平
作者单位:北京航空航天大学 能源与动力工程学院,航空发动机气动热力国防重点实验室北京,北京航空航天大学 能源与动力工程学院,航空发动机气动热力国防重点实验室;北京航空航天大学 航空发动机研究院
基金项目:两机专项基础研究 J2019-II-0012
摘    要:加工等过程中产生的几何偏差会导致涡轮叶片气动性能及工作状态发生显著变化,对该影响的准确评估与合理分析具有重要意义.本文提出了一种考虑三维型面几何偏差对气动性能影响的不确定性计算分析方法,包括随机叶型几何建模、不确定性量化计算和敏感性分析等,并结合某一单级高压涡轮进行分析.基于随机过程理论和主成分分析法,参考现有叶片加工...

关 键 词:涡轮叶片  几何偏差  气动性能  叶型建模  不确定性  量化分析
收稿时间:2020/10/12 0:00:00
修稿时间:2022/1/18 0:00:00

Uncertainty Analysis of Impact of Profile Geometric Manufacture Variations on Turbine Blade Performance in Stage Environment
WANG Xiao-jing,ZOU Zheng-ping.Uncertainty Analysis of Impact of Profile Geometric Manufacture Variations on Turbine Blade Performance in Stage Environment[J].Journal of Propulsion Technology,2022,43(3):104-111.
Authors:WANG Xiao-jing  ZOU Zheng-ping
Abstract:Geometric variations in the manufacturing process will lead to variations of aerodynamic performance and working status of turbine, and accurate evaluation and reasonable analysis of the impact are of great significance. A method to quantify and analyze the uncertainty impact of 3D blade geometric variations on aerodynamic performance was proposed in this paper, including uncertainty modeling of blade geometric variations, uncertainty quantification and sensitivity analysis. And a single-stage high-pressure turbine was taken as an example for analysis. Based on the manufacturing tolerance and Gaussian hypothesis, random process and Principal-component analysis (PCA) were used for the uncertainty modeling. The Kriging surrogate model based on polynomial chaos expansions (PC-Kriging) was applied for the uncertainty calculation. The results showed that, for the turbine under study, the aerodynamic performance and working status were significantly influenced by the geometric variations. Compared with the nominal value, the standard deviation of the actual isentropic efficiency is 0.33%, and the lower 3% quantile value decrease by 0.65%; the relative standard deviations of the actual mass flux and expansion ratio are 1.24% and 0.19%, the lower 3% quantile values decrease by 2.37% and 0.37%, and the upper 3% quantile values increase by 2.38% and 0.36%, respectively. Spearman Rank Correlation (SRC) analysis was adopted for the sensitivity analysis. According to the results, for the single-stage turbine studied, there is a large correlation between these geometric parameters, and the influence of geometric variations of the stator is significantly greater than those of the rotor. Those geometric variations in the trailing edge region of the stator have a significant impact, which should be restricted in the manufacturing process.
Keywords:3D geometric variations  Turbine blade  Uncertainty blade modeling  Uncertainty quantification  Sensitivity analysis  Random process
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