基于失效物理的航空燃油齿轮泵滑动轴承全工况寿命预测与敏感度量化

doi:10.7527/S1000-6893.2025.32119

Abstract

Abstract:

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.

Key words: aviation fuel gear pump, wear mechanism, active learning, life prediction, moment independent sensitivity

CLC Number:

V233

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 Aeronautica et Astronautica Sinica, 2026, 47(2): 432119.

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参数	数值
轴承宽度/mm	25.00
轴瓦直径/mm	20.01
轴颈直径/mm	19.94
额定转速/（r·min^-1）	7 000
环境温度/℃	40
表面硬度/MPa	120
最大进口压力/MPa	8.50
最小出口压力/MPa	0.50
介质粘度/（Pa·s）	0.84×10^-3
饱和蒸汽压/Pa	6 212.80

参数	数值
转速/（r·min^-1）	6 000（±10）
进口油压/MPa	0.892（±0.002 5）
出口油压/MPa	6.000（±0.1）
进口温度/℃	54（±10）
试验时间/s	540 000（±10）
实验结果磨损深度/μm	1.7（±0.3）

编号	相对转速	相对进口压力	相对出口压力	温度/℃	时间/s
1	100.0%	100.0%	100.0%	30.0	1 200.0
2	147.0%	186.2%	163.8%	30.0	240.0
3	144.0%	95.9%	88.9%	30.0	1 140.0
4	139.0%	89.6%	79.7%	30.0	6 180.0
5	111.0%	70.4%	87.9%	30.0	600.0
6	118.0%	110.9%	104.2%	30.0	420.0
7	144.0%	142.7%	134.8%	30.0	36.0
8	100.0%	56.0%	69.5%	30.0	60.0

随机输入变量	矩独立敏感度	标准差
轴承间隙公差	0.998 201	0.000 183
泵出口压力	0.049 269	0.000 155

Prediction of full operating life and sensitivity quantification of sliding bearings in aircraft fuel gear pumps based on failure physics

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