首页|Breaking the geometry-performance tradeoff in compressor deviation modeling:Nested principal component analysis

Breaking the geometry-performance tradeoff in compressor deviation modeling:Nested principal component analysis

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Uncertainties in the aerodynamic performance of compressors,introduced by manufac-turing variations,have received more and more attentions in recent years.The deviation model plays a crucial role in evaluating this uncertainty and facilitating robust design.However,current deviation models with a few variables cannot simultaneously achieve a precise geometric approxi-mation of deviation and provide an accurate assessment of performance uncertainty.This paper introduces a novel deviation modeling method named Nested Principal Component Analysis(NPCA)to break this tradeoff.In this method,both geometry-based and performance-based modes are utilized to describe manufacturing variations.By considering aerodynamic sensitivity,surface deformations that significantly impact aerodynamic performance can be extracted for deviation modeling.To demonstrate the superiority of this newly proposed method,ninety-eight newly man-ufactured compressor rotor blades were measured using a coordinate measurement machine,and both NPCA and Principal Component Analysis(PCA)were employed to model the real manufac-turing variations.The results indicate that,in comparison to the PCA method,the NPCA method achieves an equivalent level of accuracy in geometric reconstruction and evaluation of mean perfor-mance.Furthermore,the same level of accuracy can be obtained with eight NPCA modes and fifty PCA modes when assessing the scatter in aerodynamic performance.Finally,the working mecha-nism of the NPCA method for accurate uncertainty quantification was further investigated.

Manufacturing variationUncertainty quantificationDimension reductionAerodynamicsFlow mechanism

Mingzhi LI、Xianjun YU、Dejun MENG、Guangfeng AN、Baojie LIU

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Research Institute of Aero-Engine,Beihang University,Beijing 100191,China

National Key Laboratory of Science & Technology on Aero-Engine Aero-Thermodynamics,Beihang University,Beijing 100191,China

AECC Shenyang Engine Research Institute,Shenyang 110015,China

Science Center for Gas Turbine Project,ChinaScience Center for Gas Turbine Project,ChinaNational Natural Science Foundation of China

P2022-A-Ⅱ-002-001P2022-B-Ⅱ-002-00152206038

2024

10.1016/j.cja.2024.06.012

中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子：0.847
ISSN：1000-9361
年,卷(期)：2024.37(9)
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