Volume 41 Issue 9
Oct.  2026
Turn off MathJax
Article Contents
Liu Kaiye, Chu Wuli, Guo Zhengtao, et al. Uncertainty analysis of compressor aerodynamic performance with impact of global profile errors on blade[J]. Journal of Aerospace Power, 2026, 41(9):20250135 doi: 10.13224/j.cnki.jasp.20250135
Citation: Liu Kaiye, Chu Wuli, Guo Zhengtao, et al. Uncertainty analysis of compressor aerodynamic performance with impact of global profile errors on blade[J]. Journal of Aerospace Power, 2026, 41(9):20250135 doi: 10.13224/j.cnki.jasp.20250135

Uncertainty analysis of compressor aerodynamic performance with impact of global profile errors on blade

doi: 10.13224/j.cnki.jasp.20250135
  • Received Date: 2025-03-18
    Available Online: 2026-06-12
  • To investigate the effects of global profile errors on the aerodynamic performance of a transonic compressor, a five-dimensional geometric variability model characterizing blade surface global profile errors was established based on Gaussian process and principal component analysis. Combined with the non-intrusive polynomial chaos expansion based on Gaussian distribution, a surrogate mode of compressor performance was proposed. The effects of the performance were quantified using non-intrusive polynomial chaos methodology, complemented by loss source analysis to investigate the critical flow mechanisms in two extreme-performance blade profiles. Key findings indicated that the performance parameters at peak efficiency condition exhibited slight deviations from normal distributions under the effects of random profile errors, with the performance showing degradation. And the performance was most sensitive to the error at blade tip leading edges. The thinner leading edge can reduce shock intensity and weaken shock-leakage vortex interactions, with the loss decrease.

     

  • loading
  • [1]
    Goodhand M N, Miller R J. The impact of real geometries on three-dimensional separations in compressors[J]. Journal of Turbomachinery, 2012, 134(2): 021007. doi: 10.1115/1.4002990
    [2]
    Roberts W B. Axial compressor performance restoration by blade profile control[R]. ASME 84-GT-232, 1984.
    [3]
    Hirsch C, Wunsch D, Szumbarski J, et al. Uncertainty management for robust industrial design in aeronautics[M]. Cham, Switzerland: Springer Nature Switzerland AG, 2019.
    [4]
    Alonso J J, Eldred M S, Constantine P, et al. Scalable environment for quantification of uncertainty and optimization in industrial applications (SEQUOIA)[R]. AIAA-2017-1327, 2017.
    [5]
    Eisfeld B, Barnewitz H, Fritz W, et al. Management and minimisation of uncertainties and errors in numerical aerodynamics: results of the German collaborative project MUNA[M]. Heidelberg, Germany: Springer, 2013.
    [6]
    Garzon V E, Darmofal D L. Impact of geometric variability on axial compressor performance[J]. Journal of Turbomachinery, 2003, 125(4): 692-703. doi: 10.1115/1.1622715
    [7]
    Garzon V E, Darmofal D L. On the aerodynamic design of compressor airfoils for robustness under geometric uncertainty[R]. ASME GT2004-53581, 2008.
    [8]
    Lange A, Vogeler K, Gümmer V, et al. Introduction of a parameter based compressor blade model for considering measured geometry uncertainties in numerical simulation[R]. ASME GT2009-59937, 2009.
    [9]
    Lange A, Voigt M, Vogeler K, et al. Impact of manufacturing variability on multistage high-pressure compressor performance[J]. Journal of Engineering for Gas Turbines and Power, 2012, 134(11): 112601. doi: 10.1115/1.4007167
    [10]
    高丽敏, 蔡宇桐, 郝燕平, 等. 加工误差对压气机叶片气动性能影响试验研究[J]. 推进技术, 2017, 38(8): 1761-1766. Gao Limin, Cai Yutong, Hao Yanping, et al. Experimental investigation on aerodynamic performance of compressor blade considering manufacturing error[J]. Journal of Propulsion Technology, 2017, 38(8): 1761-1766. (in Chinese doi: 10.13675/j.cnki.tjjs.2017.08.011

    Gao Limin, Cai Yutong, Hao Yanping, et al. Experimental investigation on aerodynamic performance of compressor blade considering manufacturing error[J]. Journal of Propulsion Technology, 2017, 38(8): 1761-1766. (in Chinese) doi: 10.13675/j.cnki.tjjs.2017.08.011
    [11]
    李萍. 叶片加工误差及数据传递对压气机气动性能的影响[D]. 西安: 西北工业大学, 2015. Li Ping. Effect of blade machining error and data transfer on compressor aerodynamic performance[D]. Xi’an: Northwestern Polytechnical University, 2015. (in Chinese

    Li Ping. Effect of blade machining error and data transfer on compressor aerodynamic performance[D]. Xi’an: Northwestern Polytechnical University, 2015. (in Chinese)
    [12]
    刘佳鑫, 于贤君, 孟德君, 等. 高压压气机出口级叶型加工偏差特征及其影响[J]. 航空学报, 2021, 42(2): 423796. Liu Jiaxin, Yu Xianjun, Meng Dejun, et al. State and effect of manufacture deviations of compressor blade in high-pressure compressor outlet stage[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(2): 423796. (in Chinese

    Liu Jiaxin, Yu Xianjun, Meng Dejun, et al. State and effect of manufacture deviations of compressor blade in high-pressure compressor outlet stage[J]. Acta Aeronautica et Astronautica Sinica, 2021, 42(2): 423796. (in Chinese)
    [13]
    陈为雄, 王掩刚, 马峰, 等. 超声速来流基元叶型前缘加工误差气动敏感性分析[J]. 推进技术, 2019, 40(10): 2235-2242. Chen Weixiong, Wang Yangang, Ma Feng, et al. Aerodynamic sensitivity analysis of manufacturing errors for leading edge of supersonic elementary blade profile[J]. Journal of Propulsion Technology, 2019, 40(10): 2235-2242. (in Chinese doi: 10.13675/j.cnki.tjjs.180650

    Chen Weixiong, Wang Yangang, Ma Feng, et al. Aerodynamic sensitivity analysis of manufacturing errors for leading edge of supersonic elementary blade profile[J]. Journal of Propulsion Technology, 2019, 40(10): 2235-2242. (in Chinese) doi: 10.13675/j.cnki.tjjs.180650
    [14]
    郭正涛, 楚武利, 晏松, 等. 加工误差对压气机叶栅气动性能及稳定性影响的数据挖掘[J]. 推进技术, 2022, 43(3): 200576. Guo Zhengtao, Chu Wuli, Yan Song, et al. Data mining on effects of manufacturing error on aerodynamic performance and stability of compressor cascade[J]. Journal of Propulsion Technology, 2022, 43(3): 200576. (in Chinese doi: 10.13675/j.cnki.tjjs.200576

    Guo Zhengtao, Chu Wuli, Yan Song, et al. Data mining on effects of manufacturing error on aerodynamic performance and stability of compressor cascade[J]. Journal of Propulsion Technology, 2022, 43(3): 200576. (in Chinese) doi: 10.13675/j.cnki.tjjs.200576
    [15]
    Guo Zhengtao, Chu Wuli, Zhang Haoguang. A data-driven non-intrusive polynomial chaos for performance impact of high subsonic compressor cascades with stagger angle and profile errors[J]. Aerospace Science and Technology, 2022, 129: 107802. doi: 10.1016/j.ast.2022.107802
    [16]
    姬田园, 楚武利, 张振华, 等. 叶片厚度偏差对转子性能影响的不确定性分析[J]. 航空动力学报, 2024, 39(11): 20220203. Ji Tianyuan, Chu Wuli, Zhang Zhenhua, et al. Uncertainty analysis of impact of blade thickness deviation on rotor performance[J]. Journal of Aerospace Power, 2024, 39(11): 20220203. (in Chinese

    Ji Tianyuan, Chu Wuli, Zhang Zhenhua, et al. Uncertainty analysis of impact of blade thickness deviation on rotor performance[J]. Journal of Aerospace Power, 2024, 39(11): 20220203. (in Chinese)
    [17]
    马峰, 尚珣, 刘汉儒, 等. 跨声速压气机转子几何误差气动敏感性统计[J]. 航空动力学报, 2023, 38(10): 2483-2500. Ma Feng, Shang Xun, Liu Hanru, et al. Statistics on aerodynamic sensitivities of blade geometric errors for transonic compressor rotor[J]. Journal of Aerospace Power, 2023, 38(10): 2483-2500. (in Chinese doi: 10.13224/j.cnki.jasp.20210644

    Ma Feng, Shang Xun, Liu Hanru, et al. Statistics on aerodynamic sensitivities of blade geometric errors for transonic compressor rotor[J]. Journal of Aerospace Power, 2023, 38(10): 2483-2500. (in Chinese) doi: 10.13224/j.cnki.jasp.20210644
    [18]
    Yu Xianjun, Li Mingzhi, An Guangfeng, et al. A coupled effect model of two-position local geometric deviations on subsonic blade aerodynamic performance[J]. Applied Sciences, 2020, 10(24): 8976. doi: 10.3390/app10248976
    [19]
    Ghisu T, Shahpar S. Affordable uncertainty quantification for industrial problems: application to aero-engine fans[J]. Journal of Turbomachinery, 2018, 140(6): 061005. doi: 10.1115/1.4038982
    [20]
    罗佳奇, 陈泽帅, 邹正平, 等. 低压涡轮铸造叶片几何不确定性统计[J]. 航空学报, 2023, 44(6): 427203. Luo Jiaqi, Chen Zeshuai, Zou Zhengping, et al. Statistics on geometric uncertainties of casting blades in low-pressure turbines[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(6): 427203. (in Chinese

    Luo Jiaqi, Chen Zeshuai, Zou Zhengping, et al. Statistics on geometric uncertainties of casting blades in low-pressure turbines[J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(6): 427203. (in Chinese)
    [21]
    Wang Xiaojing, Zou Zhengping. Uncertainty analysis of impact of geometric variations on turbine blade performance[J]. Energy, 2019, 176: 67-80. doi: 10.1016/j.energy.2019.03.140
    [22]
    Lange A, Voigt M, Vogeler K, et al. Principal component analysis on 3D scanned compressor blades for probabilistic CFD simulation[R]. AIAA-2012-1762, 2012.
    [23]
    Schnell R, Lengyel-kampmann T, Nicke E. On the impact of geometric variability on fan aerodynamic performance, unsteady blade row interaction, and its mechanical characteristics[J]. Journal of Turbomachinery, 2014, 136(9): 091005. doi: 10.1115/1.4027218
    [24]
    Dow E A, Wang Qiqi. The implications of tolerance optimization on compressor blade design[J]. Journal of Turbomachinery, 2015, 137(10): 101008. doi: 10.1115/1.4030791
    [25]
    Razaaly N, Persico G, Congedo P M. Impact of geometric, operational, and model uncertainties on the non-ideal flow through a supersonic ORC turbine cascade[J]. Energy, 2019, 169: 213-227. doi: 10.1016/j.energy.2018.11.100
    [26]
    颜勇, 祝培源, 宋立明, 等. 基于非平稳高斯过程的叶栅加工误差不确定性量化[J]. 推进技术, 2017, 38(8): 1767-1775. Yan Yong, Zhu Peiyuan, Song Liming, et al. Uncertainty quantification of cascade manufacturing error based non-stationary Gaussian process[J]. Journal of Propulsion Technology, 2017, 38(8): 1767-1775. (in Chinese

    Yan Yong, Zhu Peiyuan, Song Liming, et al. Uncertainty quantification of cascade manufacturing error based non-stationary Gaussian process[J]. Journal of Propulsion Technology, 2017, 38(8): 1767-1775. (in Chinese)
    [27]
    Wennerstrom A J, Frost G R. Design of a 1500 ft/sec, transonic, high-through-flow, single-stage axial-flow compressor with low hub/tip ratio[R]. Wright-Patterson AFB, US: Air Force Aero Propulsion Lab, AFAPL-TR-76-59, 1976.
    [28]
    Wennerstrom A J, Derose R D, Law C H. Investigation of a 1500 ft/sec transonic high-through-flow single stage axial-flow compressor with low hub/tip ratio: [R]. Wright-Patterson AFB, US: Air Force Aero Propulsion Lab, AFAPL-TR-76-92, 1976.
    [29]
    卢家玲, 楚武利, 吴艳辉. 轴流风扇轴向间隙及尾迹恢复效应[J]. 计算机仿真, 2010, 27(3): 330-334. Lu Jialing, Chu Wuli, Wu Yanhui. Study on wake recovery effect and axial space of axial fan[J]. Computer Simulation, 2010, 27(3): 330-334. (in Chinese doi: 10.3969/j.issn.1006-9348.2010.03.081

    Lu Jialing, Chu Wuli, Wu Yanhui. Study on wake recovery effect and axial space of axial fan[J]. Computer Simulation, 2010, 27(3): 330-334. (in Chinese) doi: 10.3969/j.issn.1006-9348.2010.03.081
    [30]
    楚武利, 刘前智, 胡春波. 航空叶片机原理[M]. 西安: 西北工业大学出版社, 2009.
    [31]
    刘铠烨, 楚武利, 郭正涛, 等. 加工误差对超声速叶栅气动性能影响的不确定性分析[J]. 航空动力学报, 2024, 39(12): 20220791. Liu Kaiye, Chu Wuli, Guo Zhengtao, et al. Uncertainty analysis of effects of manufacturing errors on aerodynamic performance of supersonic cascades[J]. Journal of Aerospace Power, 2024, 39(12): 20220791. (in Chinese doi: 10.13224/j.cnki.jasp.20220791

    Liu Kaiye, Chu Wuli, Guo Zhengtao, et al. Uncertainty analysis of effects of manufacturing errors on aerodynamic performance of supersonic cascades[J]. Journal of Aerospace Power, 2024, 39(12): 20220791. (in Chinese) doi: 10.13224/j.cnki.jasp.20220791
    [32]
    Wang Xiaojing, Du Pengcheng, Yao Lichao, et al. Uncertainty analysis of measured geometric variations in turbine blades and impact on aerodynamic performance[J]. Chinese Journal of Aeronautics, 2023, 36(6): 140-160. doi: 10.1016/j.cja.2023.03.041
    [33]
    Ma Chi, Gao Limin, Wang Haohao, et al. Influence of leading edge with real manufacturing error on aerodynamic performance of high subsonic compressor cascades[J]. Chinese Journal of Aeronautics, 2021, 34(6): 220-232. doi: 10.1016/j.cja.2020.08.018
    [34]
    中国航空工业总公司六二四所. 叶片叶型的标注、公差与叶身表面粗糙度: HB 99—1997[S]. 北京: 中国航空工业总公司第三〇一研究所, 1999: 23-24.
    [35]
    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): 200798. Wang Xiaojing, Zou Zhengping. Uncertainty analysis of impact of profile geometric manufacture variations on turbine blade performance in stage environment[J]. Journal of Propulsion Technology, 2022, 43(3): 200798. (in Chinese

    Wang Xiaojing, Zou Zhengping. Uncertainty analysis of impact of profile geometric manufacture variations on turbine blade performance in stage environment[J]. Journal of Propulsion Technology, 2022, 43(3): 200798. (in Chinese)
    [36]
    Debusschere B J, Najm H N, Pébay P P, et al. Numerical challenges in the use of polynomial chaos representations for stochastic processes[J]. SIAM Journal on Scientific Computing, 2004, 26(2): 698-719. doi: 10.1137/S1064827503427741
    [37]
    Luo Jiaqi, Liu Feng. Statistical evaluation of performance impact of manufacturing variability by an adjoint method[J]. Aerospace Science and Technology, 2018, 77: 471-484. doi: 10.1016/j.ast.2018.03.030
    [38]
    Giebmanns A, Backhaus J, Frey C, et al. Compressor leading edge sensitivities and analysis with an adjoint flow solver[R]. ASME GT2013-94427, 2013
    [39]
    熊芬芬, 杨树兴, 刘宇, 等. 工程概率不确定性分析方法[M]. 北京: 科学出版社, 2015.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (260) PDF downloads(24) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return