摘要
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.
投稿的翻译标题 | Improved PCE model with coupled double-layer parameter updating for uncertainty analysis in fuel centrifugal pump |
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源语言 | 繁体中文 |
文章编号 | 130126 |
期刊 | Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica |
卷 | 45 |
期 | 21 |
DOI | |
出版状态 | 已出版 - 15 11月 2024 |
关键词
- aircraft engines
- flow field uncertainty
- fuel centrifugal pump
- improved PCE model with coupled double-layer parameter updating
- KL transform
- performance uncertainty