ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Prediction of full operating life and sensitivity quantification of sliding bearings in aircraft fuel gear pumps based on failure physics
Received date: 2025-04-11
Revised date: 2025-05-09
Accepted date: 2025-07-07
Online published: 2025-10-17
Supported by
National Natural Science Foundation of China(52372396);National Science and Technology Major Project of China(JSZL2023213S001);the Fundamental Research Funds for the Central Universities(D5000240299)
The lubrication and wear failure of the sliding bearing pair in aviation fuel gear pumps is the main factor leading to gear pump failures. Traditional sliding bearing life prediction methods rely on a large amount of experimental data and have limitations such as high cost and harsh testing conditions. This article proposes a full load failure life assessment method that integrates lubrication and wear mechanism models with active learning. It comprehensively considers the effects of temperature, elastic deformation, and rough surfaces, and combines uncertainty in production and service to construct a sliding bearing lubrication and wear simulation model. The lubrication characteristics and dynamic wear behavior are characterized, and the learning and prediction process of the cumulative probability function is optimized using active learning methods, significantly reducing sample requirements and achieving efficient evaluation of failure probability and life distribution under full load conditions. In addition, the impact of various uncertainty factors on lifespan was analyzed through moment independent sensitivity analysis. Research has shown that with the increase of wear, various performance indicators of sliding bearings have deteriorated, proving the rationality of using wear as a failure criterion. On this basis, the bearing life distribution obtained through active learning methods shows that the failure of sliding bearings mainly occurs at approximately 687.88 h and 859.60 h of operation, and their total life will not exceed 900 h. In addition, sensitivity analysis revealed that the sensitivity of the random tolerance of the bearing clearance was 0.998 201, which is greater than the random pressure pulsation at the pump outlet. The service life of the sliding bearing is mainly affected by the random tolerance of the bearing clearance. The method proposed in this article for predicting and evaluating the life of sliding bearings in aviation fuel gear pumps based on lubrication and wear mechanism models will provide structural optimization efficiency for friction pairs, providing theoretical support and engineering guidance for the long-term and high reliability design of aviation fuel gear pumps.
Deqing ZHOU , Wenbo ZHANG , Chao GUO , Xianwei LIU , Jiangfeng FU . Prediction of full operating life and sensitivity quantification of sliding bearings in aircraft fuel gear pumps based on failure physics[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2026 , 47(2) : 432119 -432119 . DOI: 10.7527/S1000-6893.2025.32119
| [1] | 安理会, 王建礼, 刘意, 等. 航空发动机燃油控制装置可靠性研究综述[J]. 推进技术, 2024, 45(1): 6-22. |
| AN L H, WANG J L, LIU Y, et al. Summary of reliability research on aero engine fuel control devices[J]. Journal of Propulsion Technology, 2024, 45(1): 6-22 (in Chinese). | |
| [2] | BULUT D, BADER N, POLL G. Cavitation and film formation in hydrodynamically lubricated parallel sliders[J]. Tribology International, 2021, 162: 107113. |
| [3] | CHEN S, CAI J, XIANG G, et al. Tribo-dynamic-wear coupling analysis for Water-lubricated Bearings with journal surface imperfection under repeated start-stop cycles[J]. Tribology International, 2024, 200: 110093. |
| [4] | 符江锋, 王建礼, 李文霞, 等. 航空发动机长寿命、高可靠燃油齿轮泵关键技术研究综述[J]. 推进技术, 2024, 45(12): 46-63. |
| FU J F, WANG J L, LI W X, et al. Review of key technologies for long life and high reliability fuel gear pumps in aeroengine[J]. Journal of Propulsion Technology, 2024, 45(12): 46-63 (in Chinese). | |
| [5] | MAZURKOW A, KALINA A. Static properties of plain journal bearing[J]. Physics for Economy, 2021, 4: 41-52. |
| [6] | ALLMAIER H, PRIESTNER C, REICH F M, et al. Predicting friction reliably and accurately in journal bearings—extending the EHD simulation model to TEHD[J]. Tribology International, 2013, 58: 20-28. |
| [7] | RANSEGNOLA T, SADEGHI F, VACCA A. An efficient cavitation model for compressible fluid film bearings[J]. Tribology Transactions, 2021, 64(3): 434-453. |
| [8] | 符江锋, 仲世杰, 罗康, 等. 航空发动机燃油泵动静压滑动轴承润滑特性与参数影响分析[J]. 推进技术, 2025, 46(1): 242-257. |
| FU J F, ZHONG S J, LUO K, et al. Analysis of aeroengine fuel pump hydrostatic journal bearing lubrication and parameter influence[J]. Journal of Propulsion Technology, 2025, 46(1): 242-257 (in Chinese). | |
| [9] | 刘济海, 孙军. 耦合轴颈轴向运动的粗糙表面径向滑动轴承热流体动力润滑分析[J]. 润滑与密封, 2024, 49(8): 73-81. |
| LIU J H, SUN J. Thermohydrodynamic Lubrication analysis of journal bearing with rough surface coupled the axial motion of journal[J]. Lubrication Engineering, 2024, 49(8): 73-81 (in Chinese). | |
| [10] | SHI X, LU X, FENG Y, et al. Tribo-dynamic analysis for aero ball bearing with 3D measured surface roughness[J]. Engineering Failure Analysis, 2022, 131: 105848. |
| [11] | 朱嘉兴, 李华聪, 符江锋, 等. 航空齿轮泵滑动轴承接触状态流体润滑特性[J]. 航空动力学报, 2020, 35(1): 169-177. |
| ZHU J X, LI H C, FU J F, et al. Lubrication characteristics in contact state of journal bearings inside aero gear pump[J]. Journal of Aerospace Power, 2020, 35(1): 169-177 (in Chinese). | |
| [12] | SHARMA A K, KUMAR N, DAS A K. A review on wear failure of hydraulic components: existing problems and possible solutions[J]. Engineering Research Express, 2024, 6(1): 012502. |
| [13] | MATTHIAS F, DAVID M. Recent trends in the modeling and quantification of non-probabilistic uncertainty[J]. Archives of Computational Methods in Engineering, 2019(3): 1-39. |
| [14] | PAPAIOANNOU I, BETZ W, ZWIRGLMAIER K, et al. MCMC algorithms for subset simulation[J]. Probabilistic Engineering Mechanics, 2015, 41: 89-103. |
| [15] | 宁晓艳, 夏志明. 基于矩方法的参数的分布式估计框架[J]. 应用数学学报, 2024, 47(4): 656-671. |
| NING X Y, XIA Z M, et al. Distributed parameter estimation framework based on moment method[J]. Acta Mathematicae Applicatae Sinica, 2024, 47(4): 656-671 (in Chinese). | |
| [16] | 赵军, 陶友瑞. 基于响应面与MCMC子集模拟的滑动轴承润滑可靠性分析[J]. 机械设计, 2021, 38(9): 31-37. |
| ZHAO J, TAO Y R. Analysis on the lubrication reliability of sliding bearing based on the response surface and MCMC subset simulation[J]. Journal of Machine Design, 2021, 38(9): 31-37 (in Chinese). | |
| [17] | VALDEBENITO M A, WEI P, SONG J, et al. Failure probability estimation of a class of series systems by multidomain Line Sampling[J]. Reliability Engineering & System Safety, 2021, 213: 107673. |
| [18] | 员婉莹, 李逢源, 黄博, 等. 可靠性分析改进元模型重要抽样算法[J]. 航空学报, 2025, 46(7): 230738. |
| YUN W Y, LI F Y, HUANG B, et al. Enhanced metamodel-based importance sampling reliability analysis method[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(7): 230738 (in Chinese). | |
| [19] | WEI P, ZHENG Y, FU J, et al. An expected integrated error reduction function for accelerating Bayesian active learning of failure probability[J]. Reliability Engineering & System Safety, 2023, 231: 108971. |
| [20] | WANG Y, LI Y, HUANG H, et al. An AK‐MCS‐based probabilistic fatigue life prediction framework for turbine disc with a mean stress correction model[J]. Quality and Reliability Engineering International, 2024, 40(6): 3238-3252. |
| [21] | ZHU D, MARTINI A, WANG W, et al. Simulation of sliding wear in mixed lubrication[J]. Journal of Tribology, 2007, 129(3): 544-552. |
| [22] | SONG J, ZHANG Y, CUI Y, et al. Bayesian active learning approach for estimation of empirical copula-based moment-independent sensitivity indices[J]. Engineering with Computers, 2024, 40(2): 1247-1263. |
| [23] | HUANG S P, QUEK S T, PHOON K K. Convergence study of the truncated Karhunen - Loeve expansion for simulation of stochastic processes[J]. International Journal for Numerical Methods in Engineering, 2001, 52(9): 1029-1043. |
| [24] | 蒋献, 王言, 孟敏. 失效概率矩独立全局灵敏度分析的高效算法[J]. 航空学报, 2019, 40(3): 222414. |
| JIANG X, WANG Y, MENG M. Efficient algorithm for analyzing moment-independent global reliability sensitivity[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(3): 222414 (in Chinese). |
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