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Acta Aeronautica et Astronautica Sinica ›› 2024, Vol. 45 ›› Issue (21): 130126.doi: 10.7527/S1000-6893.2024.30126

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

Improved PCE model with coupled double-layer parameter updating for uncertainty analysis in fuel centrifugal pump

Jiangfeng FU1,2, Shijie ZHONG1, Xianwei LIU1(), Pengfei WEI1, Hanting HUANG1   

  1. 1.School of Power and Energy,Northwestern Polytechnical University,Xi’an 710072,China
    2.Institute of Advanced Integration Technology,Northwestern Polytechnical University,Chengdu 610299,China
  • Received:2024-01-09 Revised:2024-02-01 Accepted:2024-03-20 Online:2024-11-15 Published:2024-03-29
  • Contact: Xianwei LIU E-mail:lxw@mail.nwpu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(52372396);National Science and Technology Major Project of China(J2019-V-0016-0111);Science Center for Gas Turbine Project(P2022-B-V-003-001);Defense Industrial Technology Development Program(JCKY2022607C002);AECC Industry University Cooperation Project(HFZL2022CXY013);Key R&D University Joint Key Project of Shaanxi Province(2021GXLH-01-16)

Abstract:

Blade manufacturing and extreme operating conditions in aircraft engines introduce uncertainty factors that significantly impact the performance and flow field variability of fuel centrifugal pumps. This paper proposes a synchronized analysis method based on CFD mechanistic models and surrogate models. Firstly, based on the Karhuben-Loève (KL) transform theory, uncertainty modeling of three-dimensional blade profile errors in the centrifugal pump was conducted. Secondly, nesting the Least Angle Regression (LAR) algorithm, we applied a double-layer parameter update to the Polynomial Chaos Expansion (PCE) model, constructing a high-precision surrogate model. Finally, employing a specific type of fuel centrifugal pump as the research object, we accomplished uncertainty analysis of the centrifugal pump based on CFD simulations, experimental verification, and the PCE surrogate model. The research demonstrates that the KL transform efficiently describes uncertainty in the three-dimensional blade profile error using only 9 input parameters. The improved PCE model with coupled double-layer parameter updating exhibits an average increase of 27.6% in accuracy metrics across multiple centrifugal pump conditions compared to the unimproved model. Controlling the blade profile error within -0.3 to 0.3 mm at the hub significantly reduces uncertainty in centrifugal pump performance. The blade profile errors at the hub have a greater impact on flow field uncertainty than those at the shroud and midsection, while speed is a crucial operational parameter affecting uncertainty in the fuel pump flow field.

Key words: aircraft engines, fuel centrifugal pump, KL transform, improved PCE model with coupled double-layer parameter updating, performance uncertainty, flow field uncertainty

CLC Number: