Rotational fretting wear characteristic of ball bearings and rotor assemblies based on wear particles analysis
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摘要:
为研究燃气涡轮发动机球轴承及转子组件的转动微动磨损特性，综合利用光谱、自动磨粒、铁谱及能谱分析方法对燃气涡轮发动机滑油磨粒进行分析。结果表明：磨粒总量及尺寸与球轴承及转子组件的磨损进程存在对应关系，即磨粒随磨损量和磨损形式的变化而改变，并在磨损后期急剧增长；内圈相对轴的转动是导致轴承及转子组件转动微动磨损的主要原因，其特征磨粒为平片状疲劳磨粒，且球轴承及转子组件的磨损具有系统依赖性。结论：在摩擦力及内圈高温度梯度等作用下，内圈相对轴发生转动，使定距套、轴表面、锁紧螺母端面先后出现转动微动磨损，并在非承力半圈滚道底部形成碾压痕迹。所提出的磨粒分析流程也可为其他燃气涡轮发动机的球轴承及转子组件转动微动磨损特性研究提供参考。
Abstract:To study the rotational fretting wear characteristic of ball bearing and rotor assemblies for gas turbine, spectroscopy, laser net fines analysis, ferrography and energy-dispersive X-ray spectroscopy analysis were employed to analyze the wear particles in lubricant. The results showed that the total amount and size of wear particles matched well with the wear process, which varied according to wear amount and patterns and increased sharply at the final period of wear. The rotational fretting wear of ball bearings and rotor assemblies were mainly caused by the rotation of inner ring relative to the shaft, and the flat platelets were the characteristic wear particles for rotational fretting wear. The wear process was not isolated. In short, with the rotation of inner ring relative to shaft caused by friction and high temperature gradient, the wears were founded on spacer sleeve, shaft, and locknut face sequentially, and crushing marks were formed at the bottom of non-load bearing half-ring raceway. To be notice, the analysis process can also provide a reference to the wear mechanism of ball bearings and rotor assemblies of other gas turbines.
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Key words:
- gas turbine /
- ball bearings /
- wear particles /
- rotational fretting wear /
- locknut
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表 1 轴承及转子组件材料
Table 1. Bearings and rotor assemblies material
零件名称 材料 内、外圈、滚珠 Cr4Mo4V 保持架 40CrNiMoA 定距套 40CrNiMoA 锁紧螺母 40CrNiMoA 轴 0Cr17Ni4Cu4Nb 
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表 2 30 h能谱分析结果
Table 2. Energy spectrum analysis results at 30 h
磨粒 质量分数/% Fe Cr Ni Mo Mn Cu 1 余 0.7 1.7 0.3 0.6 2 余 0.9 1.8 0.1 0.8 3 余 0.6 1.6 0.3 0.8 4 余 15.4 4.0 0.4 0.3 3.4
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表 3 50 h能谱分析结果
Table 3. Energy spectrum analysis results at 50 h
磨粒 质量分数/% Fe Cr Ni Mo Mn V 1 余 0.9 1.2 0.1 0.5 2 余 0.9 1.3 0.2 0.4 3 余 4.4 4.1 0.1 1.1
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表 4 60 h能谱分析结果
Table 4. Energy spectrum analysis results at 60 h
磨粒 质量分数/% Fe Cr Ni Mo Mn Cu Nb 1 余 0.7 1.7 0.2 0.4 2 余 0.9 1.8 0.3 0.4 3 余 0.8 1.8 0.2 0.3 1.2 4 19.5 19.3 52.1 2.8 4.8 5 18.7 18.5 52.8 3.3 5.7 6 1.5 1.0 1.4 余 7 余 15.4 4.7 0.7 5.1 0.6
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表 5 110 h能谱分析结果
Table 5. Energy spectrum analysis results at 110 h
磨粒 质量分数/% Fe Cr Ni Mo Mn Cu Nb 1 余 0.8 1.9 0.2 0.7 2 余 0.9 1.7 0.1 0.6 3 余 15.6 4.7 4.1 0.8
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表 6 220 h能谱分析结果
Table 6. Energy spectrum analysis results at 220 h
磨粒 质量分数/% Fe Cr Ni Mo Mn 1 余 0.9 1.5 0.1 0.8 2 余 0.9 1.3 0.3 0.8 3 余 1.0 1.3 0.2 0.8
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[1] 刘振侠, 江平. 航空发动机机械系统设计[M]. 北京: 科学出版社, 2022. LIU Zhenxia, JIANG Ping. Mechanical system design of aero-engine[M]. Beijing: Science Press, 2022. (in ChineseLIU Zhenxia, JIANG Ping. Mechanical system design of aero-engine[M]. Beijing: Science Press, 2022. (in Chinese) [2] WANG Liqin, LI Yunfeng. Boundary for aviation bearing accelerated life test based on quasi-dynamic analysis[J]. Tribology International, 2017, 116: 414-421. doi: 10.1016/j.triboint.2017.06.014 [3] 杨景来, 佟文伟, 李青, 等. 航空发动机球轴承剥落故障模式分析[J]. 航空发动机, 2024, 50(3): 169-174. YANG Jinglai, TONG Wenwei, LI Qing, et al. Spalling failure mode analysis of aeroengine ball bearings[J]. Aeroengine, 2024, 50(3): 169-174. (in ChineseYANG Jinglai, TONG Wenwei, LI Qing, et al. Spalling failure mode analysis of aeroengine ball bearings[J]. Aeroengine, 2024, 50(3): 169-174. (in Chinese) [4] 刘朋, 王黎钦, 张传伟, 等. 航空发动机主轴轴承状态监测研究现状与发展趋势[J]. 航空动力学报, 2022, 37(2): 330-343. LIU Peng, WANG Liqin, ZHANG Chuanwei, et al. Research status and development trend of condition monitoring on main-shaft bearings used in aircraft engines[J]. Journal of Aerospace Power, 2022, 37(2): 330-343. (in ChineseLIU Peng, WANG Liqin, ZHANG Chuanwei, et al. Research status and development trend of condition monitoring on main-shaft bearings used in aircraft engines[J]. Journal of Aerospace Power, 2022, 37(2): 330-343. (in Chinese) [5] ZHANG Han, CHEN Xuefeng, ZHANG Xiaoli, et al. Aero-engine bearing fault detection: a clustering low-rank approach[J]. Mechanical Systems and Signal Processing, 2020, 138: 106529. doi: 10.1016/j.ymssp.2019.106529 [6] KHAKIPOUR M H, SAFAVI A A, SETOODEH P. Bearing fault diagnosis with morphological gradient wavelet[J]. Journal of the Franklin Institute, 2017, 354(6): 2465-2476. doi: 10.1016/j.jfranklin.2016.11.013 [7] 栾孝驰, 那万晓, 沙云东, 等. 基于特征量阈值判决的轴承故障诊断方法[J]. 推进技术, 2022, 43(4): 200921. LUAN Xiaochi, NA Wanxiao, SHA Yundong, et al. Bearing fault diagnosis method based on eigenvalue threshold decision[J]. Journal of Propulsion Technology, 2022, 43(4): 200921. (in ChineseLUAN Xiaochi, NA Wanxiao, SHA Yundong, et al. Bearing fault diagnosis method based on eigenvalue threshold decision[J]. Journal of Propulsion Technology, 2022, 43(4): 200921. (in Chinese) [8] WAKIRU J M, PINTELON L, MUCHIRI P N, et al. A review on lubricant condition monitoring information analysis for maintenance decision support[J]. Mechanical Systems and Signal Processing, 2019, 118: 108-132. doi: 10.1016/j.ymssp.2018.08.039 [9] KUMAR M, SHANKAR MUKHERJEE P, MOHAN MISRA N. Advancement and current status of wear debris analysis for machine condition monitoring: a review[J]. Industrial Lubrication and Tribology, 2013, 65(1): 3-11. doi: 10.1108/00368791311292756 [10] 石新发, 贺石中, 谢小鹏, 等. 摩擦学系统润滑磨损故障诊断特征提取研究综述[J]. 摩擦学学报, 2023, 43(3): 241-255. SHI Xinfa, HE Shizhong, XIE Xiaopeng, et al. Review on feature extraction of lubrication and wear fault diagnosis in tribology system[J]. Tribology, 2023, 43(3): 241-255. (in ChineseSHI Xinfa, HE Shizhong, XIE Xiaopeng, et al. Review on feature extraction of lubrication and wear fault diagnosis in tribology system[J]. Tribology, 2023, 43(3): 241-255. (in Chinese) [11] XU Guangju, ZHAO Yang, LI Mingdi, et al. Effects of the lubricating oil and diesel mixture combustion on the oxidation and microphysical properties of particulate matter[J]. Energy Reports, 2020, 6: 308-314. doi: 10.1016/j.egyr.2020.01.004 [12] 杨景来, 卜嘉利, 佟文伟, 等. 基于磨粒分析的球轴承外圈剥落扩展特性研究[J]. 航空动力学报, 2024, 39(6): 20230666. YANG Jinglai, BU Jiali, TONG Wenwei, et al. Research on peeling propagation characteristics of outer ring of ball bearings based on wear particles analysis[J]. Journal of Aerospace Power, 2024, 39(6): 20230666. (in ChineseYANG Jinglai, BU Jiali, TONG Wenwei, et al. Research on peeling propagation characteristics of outer ring of ball bearings based on wear particles analysis[J]. Journal of Aerospace Power, 2024, 39(6): 20230666. (in Chinese) [13] FENG Song, ZHANG Jiangqiao, FAN Bin, et al. A panoramic ferrograph for on-site detection of oil wear debris[J]. Tribology International, 2023, 190: 109025. doi: 10.1016/j.triboint.2023.109025 [14] 王洪伟, 陈果, 陈立波, 等. 一种航空发动机滚动轴承磨损故障监测技术[J]. 航空动力学报, 2014, 29(9): 2256-2263. WANG Hongwei, CHEN Guo, CHEN Libo, et al. A fault monitoring technique for wear of aero-engine rolling bearing[J]. Journal of Aerospace Power, 2014, 29(9): 2256-2263. (in ChineseWANG Hongwei, CHEN Guo, CHEN Libo, et al. A fault monitoring technique for wear of aero-engine rolling bearing[J]. Journal of Aerospace Power, 2014, 29(9): 2256-2263. (in Chinese) [15] SUN Jiayi, WANG Liming, LI Jianfeng, et al. Online oil debris monitoring of rotating machinery: a detailed review of more than three decades[J]. Mechanical Systems and Signal Processing, 2021, 149: 107341. doi: 10.1016/j.ymssp.2020.107341 [16] ZHU Xiaoliang, ZHONG Chong, ZHE Jiang. Lubricating oil conditioning sensors for online machine health monitoring: a review[J]. Tribology International, 2017, 109: 473-484. doi: 10.1016/j.triboint.2017.01.015 [17] 谢友柏. 摩擦学的三个公理[J]. 摩擦学学报, 2001, 21(3): 161-166. XIE Youbai. Three axioms in tribology[J]. Tribology, 2001, 21(3): 161-166. (in ChineseXIE Youbai. Three axioms in tribology[J]. Tribology, 2001, 21(3): 161-166. (in Chinese) [18] MO J L, ZHU M H, ZHENG J F, et al. Study on rotational fretting wear of 7075 aluminum alloy[J]. Tribology International, 2010, 43(5/6): 912-917. [19] ZHU M H, ZHOU Z R. An experimental study on radial fretting behaviour[J]. Tribology International, 2001, 34(5): 321-326. doi: 10.1016/S0301-679X(01)00018-4 [20] 何燕妮, 俞树荣, 李淑欣, 等. TC4合金微动磨损颗粒的运动分布[J]. 稀有金属材料与工程, 2020, 49(4): 1250-1255. HE Yanni, YU Shurong, LI Shuxin, et al. Distribution of the wear particles for TC4 alloy in fretting[J]. Rare Metal Materials and Engineering, 2020, 49(4): 1250-1255. (in ChineseHE Yanni, YU Shurong, LI Shuxin, et al. Distribution of the wear particles for TC4 alloy in fretting[J]. Rare Metal Materials and Engineering, 2020, 49(4): 1250-1255. (in Chinese) [21] REDA A A, BOWEN R, WESTCOTT V C. Characteristics of particles generated at the interface between sliding steel surfaces[J]. Wear, 1975, 34(3): 261-273. doi: 10.1016/0043-1648(75)90095-2 [22] 安德森D P. 磨粒图谱[M]. 修订版. 北京: 机械工业出版社, 1987. ANDERSON D P. Wear particle atlas[M]. Revised. Beijing: China Machine Press, 1987. (in ChineseANDERSON D P. Wear particle atlas[M]. Revised. Beijing: China Machine Press, 1987. (in Chinese) [23] 张远彬, 鲁连涛, 宫昱滨, 等. 微动磨损对过盈配合结构微动疲劳性能的影响[J]. 摩擦学学报, 2016, 36(4): 495-502. ZHANG Yuanbin, LU Liantao, GONG Yubin, et al. Influence of fretting wear on fretting fatigue properties of press-fitted shaft[J]. Tribology, 2016, 36(4): 495-502. (in ChineseZHANG Yuanbin, LU Liantao, GONG Yubin, et al. Influence of fretting wear on fretting fatigue properties of press-fitted shaft[J]. Tribology, 2016, 36(4): 495-502. (in Chinese) [24] 袁才钦, 李亚波, 杨凯, 等. 铁路车轴过盈配合面微动损伤分析及有限元仿真[J]. 摩擦学学报, 2020, 40(4): 520-530. YUAN Caiqin, LI Yabo, YANG Kai, et al. Damage analysis and finite element simulation of fretting wear on press-fitted surface of railway axle[J]. Tribology, 2020, 40(4): 520-530. (in ChineseYUAN Caiqin, LI Yabo, YANG Kai, et al. Damage analysis and finite element simulation of fretting wear on press-fitted surface of railway axle[J]. Tribology, 2020, 40(4): 520-530. (in Chinese) [25] ZOU Lang, ZENG Dongfang, LI Yabo, et al. Experimental and numerical study on fretting wear and fatigue of full-scale railway axles[J]. Railway Engineering Science, 2020, 28(4): 365-381. doi: 10.1007/s40534-020-00224-9 [26] 国家市场监督管理总局, 国家标准化管理委员会. 滚动轴承 损伤和失效 术语、特征及原因: GB/T 24611—2020[S]. 北京: 中国标准出版社, 2020: 26. -
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