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关节轴承摩擦学性能与剩余寿命预测综述

吕延军 赵晓伟 陈锐搏 杨鑫亮 张永芳 杨凌宇 方建敏

吕延军, 赵晓伟, 陈锐搏, 杨鑫亮, 张永芳, 杨凌宇, 方建敏. 关节轴承摩擦学性能与剩余寿命预测综述[J]. 交通运输工程学报, 2025, 25(1): 29-47. doi: 10.19818/j.cnki.1671-1637.2025.01.003
引用本文: 吕延军, 赵晓伟, 陈锐搏, 杨鑫亮, 张永芳, 杨凌宇, 方建敏. 关节轴承摩擦学性能与剩余寿命预测综述[J]. 交通运输工程学报, 2025, 25(1): 29-47. doi: 10.19818/j.cnki.1671-1637.2025.01.003
LYU Yan-jun, ZHAO Xiao-wei, CHEN Rui-bo, YANG Xin-liang, ZHANG Yong-fang, YANG Ling-yu, FANG Jian-min. Review on frictional properties and residual life prediction of spherical plain bearing[J]. Journal of Traffic and Transportation Engineering, 2025, 25(1): 29-47. doi: 10.19818/j.cnki.1671-1637.2025.01.003
Citation: LYU Yan-jun, ZHAO Xiao-wei, CHEN Rui-bo, YANG Xin-liang, ZHANG Yong-fang, YANG Ling-yu, FANG Jian-min. Review on frictional properties and residual life prediction of spherical plain bearing[J]. Journal of Traffic and Transportation Engineering, 2025, 25(1): 29-47. doi: 10.19818/j.cnki.1671-1637.2025.01.003

关节轴承摩擦学性能与剩余寿命预测综述

doi: 10.19818/j.cnki.1671-1637.2025.01.003
基金项目: 

国家自然科学基金项目 52075438

陕西省重点研发计划 2024GX-YBXM-268

详细信息
    作者简介:

    吕延军(1972-),男,陕西韩城人,西安理工大学教授,工学博士,从事机械摩擦学与表面技术研究

  • 中图分类号: U664.21

Review on frictional properties and residual life prediction of spherical plain bearing

Funds: 

National Natural Science Foundation of China 52075438

Key Research and Development Program of Shaanxi Province 2024GX-YBXM-268

More Information
Article Text (Baidu Translation)
  • 摘要: 从外部因素和表面处理两方面梳理了关节轴承摩擦学性能的研究进展,从模型预测和数模联动预测两方面概述了关节轴承剩余寿命预测的研究进展;剖析了作用载荷、环境温度、摆动周期、润滑材料、表面涂层、表面改性、表面织构及表面加工对关节轴承摩擦学性能的影响;探讨了关节轴承寿命的影响因素及预测方法。研究结果表明:外部因素对关节轴承摩擦学性能影响较大,大多情况下均是多因素相互耦合,需要阐明外部因素对关节轴承摩擦磨损的作用机理,进而设计关节轴承的结构、润滑方式及耐磨材料等;表面处理能够减小关节轴承摩擦副的磨损,为了采用表面处理改善关节轴承摩擦副的摩擦磨损,需阐明涂层参数、改性工艺、织构参数及加工工艺等对关节轴承摩擦学性能的影响规律,进而研发具有成本低、可靠性高、能源消耗低及环境污染小等特点的表面处理方法,提升关节轴承的摩擦学性能;影响关节轴承剩余寿命的内外因素较多,为了准确地预测关节轴承的剩余寿命,需要分析服役工况下关节轴承的工作状态及摩擦磨损情况,进而构建可靠的寿命预测模型和评估方法,预测关节轴承的剩余寿命。

     

  • 图  1  关节轴承结构

    Figure  1.  Structures of spherical plain bearings

    图  2  关节轴承失效

    Figure  2.  Failures of spherical plain bearing

    图  3  研究技术路线

    Figure  3.  Research technology route

    图  4  载荷对磨损量的影响

    Figure  4.  Effect of load on wear amount

    图  5  环境温度对摩擦因数和磨损量的影响

    Figure  5.  Effects of environmental temperature on friction coefficient and wear amount

    图  6  PTFE/Kevlar织物的摩擦因数随摆动周期的变化

    Figure  6.  Variations of friction coefficient of PTFE/Kevlar fabric with swing cycle

    图  7  摆动频率对摩擦因数和磨损量的影响

    Figure  7.  Effects of swing frequency on friction coefficient and wear amount

    图  8  摆动周期对关节轴承摩擦学性能的影响

    Figure  8.  Effects of swing cycles on frictional property of spherical plain bearing

    图  9  Ni-P/PTFE复合材料的肖氏硬度

    Figure  9.  Shore hardness of Ni-P/PTFE composite materials

    图  10  Ni-P/PTFE复合材料的摩擦因数

    Figure  10.  Friction coefficients of Ni-P/PTFE composite materials

    图  11  表面织构形貌

    Figure  11.  Topographies of surface textures

    图  12  超声波轧制工艺前后的内圈

    Figure  12.  Inner ring before and after ultrasonic rolling process

    图  13  温度检测装置

    Figure  13.  Temperature detection device

    表  1  涂层制备技术的分类与特点

    Table  1.   Classification and characteristics of coating preparation technologies

    涂层制备技术 常见制备工艺 特点
    热喷涂技术[38] 电弧喷涂、火焰喷涂 工艺成熟、喷涂速度快、涂层氧化严重、空隙率高
    等离子喷涂 涂层质量好、喷涂速度快、涂层氧化不严重、空隙率低
    物理气相沉积[39] 电弧离子镀 温度高、沉积速率快、离化率高、成膜均匀性差
    磁控溅射 成膜质量好、污染小、离化率低、成膜速率慢
    化学气相沉积 热丝化学气相沉积[40] 设备简单、成本低、成膜质量好、速率慢、均匀性差
    等离子增强化学气相沉积[41] 沉积温度低、成膜均匀性好、基体影响小
    下载: 导出CSV

    表  2  表面处理减摩抗磨的特点

    Table  2.   Anti-friction and anti-wear characteristics of surface treatment

    处理技术 特点
    表面涂层 在关节轴承摩擦副表面制备软、硬或多层薄膜,能形成摩擦转移膜,减小摩擦因数,提升摩擦学性能,获得减摩抗磨的效果
    表面改性 对关节轴承摩擦副表面进行物化处理,获得较高的硬度和较小的粗糙度,实现较优的减摩抗磨效果
    表面织构 在关节轴承摩擦副表面加工凹槽、凹坑或凸起等,或在外圈内球面粘结自润滑织物衬垫,减小摩擦副的接触面积,储存润滑剂、磨粒和磨削,减小磨损
    表面加工 改变关节轴承的加工工艺,获得较优的硬度、纹路及表面粗糙度等,实现较优的减摩抗磨效果
    下载: 导出CSV

    表  3  关节轴承寿命预测的特点及局限性

    Table  3.   Characteristics and limitations of life prediction for spherical plain bearing

    预测方法 特点 局限性
    模型预测 建模考虑影响因素较多、建模困难、模型复杂、模型种类多、计算量大。简易模型预测精度较低。预测的是关节轴承平均寿命,模型大多为经验模型 建模时,需考虑影响关节轴承的设计、加工、装配润滑、温度、载荷及转速等因素,也要考虑各因素之间的耦合关系,会导致预测模型复杂,计算量大。若仅考虑主要影响因素,预测模型计算精度低
    数模联动预测 采用传感器检测关节轴承的工作状态及采集数据,通过数据处理及分析模型,能准确地反映关节轴承的工作状态及磨损情况,预测成本高 受到实际工作状态及磨损情况、衬垫接触表面的应力、环境状况及变形分布等因素的影响,也受到检测技术、检测设备及检测方法等的限制,预测成本高
    下载: 导出CSV
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  • 收稿日期:  2023-12-11
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