特邀专栏:大国重器:复兴之路上的轨道交通技术

含外圈故障的高速列车轴承转子系统非线性动力学行为分析

  • 刘永强 ,
  • 王宝森 ,
  • 杨绍普
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  • 石家庄铁道大学机械工程学院 石家庄 050043
刘永强,男,1983年出生,副教授,博士研究生导师。研究方向为车辆动力学与控制、机车走行部故障诊断。E-mail:liuyq@stdu.edu.cn

收稿日期: 2017-05-02

  修回日期: 2017-12-20

  网络出版日期: 2018-04-20

基金资助

国家自然科学基金(11572206,11472179,U1534204,11790280)、河北省自然科学基金(A2015210005,A2016210099)和河北省人才工程培养经费资助科研(A2016002036)资助项目。

Nonlinear Dynamic Behaviors Analysis of the Bearing Rotor System with Outer Ring Faults in the High-speed Train

  • LIU Yongqiang ,
  • WANG Baosen ,
  • YANG Shaopu
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  • School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043

Received date: 2017-05-02

  Revised date: 2017-12-20

  Online published: 2018-04-20

摘要

针对高速动车组列车的轴箱轴承,建立一种含外圈故障的滚动轴承非线性动力学模型,并分析轴承在正常状态和故障状态下模型的非线性动力学行为。该轴承为高速列车圆锥滚子轴承,模型考虑了轴承间隙、滚子和滚道之间的非线性赫兹接触力、由于转子质量偏心引起的不平衡力等因素。对模型进行数值求解,通过对比仿真和实际求得的变刚度频率外圈故障特征频率验证了模型的正确性。得到系统复杂的非线性动力学响应,分析转子速度、故障尺寸等因素对系统稳定性的影响,随着转子速度和故障尺寸的增大,系统会逐渐偏离稳定的运动状态,更早地进入混沌。通过频谱图、相平面图、分岔图以及Poincare映射图进行系统分岔和混沌特性分析,发现了通往混沌的拟周期运动、阵发性和倍周期分岔途径。分析结果对研究列车轴箱轴承故障的产生机理和演化规律具有一定的价值。

本文引用格式

刘永强 , 王宝森 , 杨绍普 . 含外圈故障的高速列车轴承转子系统非线性动力学行为分析[J]. 机械工程学报, 2018 , 54(8) : 17 -25 . DOI: 10.3901/JME.2018.08.017

Abstract

A nonlinear dynamic model of rolling element bearing in EMUs with outer ring faults is built, and the nonlinear dynamics behavior of the model is analyzed Under the normal state and failure state. The rolling element bearing in this model is a tapered one, and three nonlinear factors were considered, such as clearance of bearing, nonlinear Hertzian contact force between balls and races, and unbalance force because of the rotor eccentric mass. In order to prove the validity of the model by comparing the varying compliance(VC) frequency and outer ring fault feature frequency which are derived from the simulation and actual calculate and get the complex nonlinear dynamic response, the numerical method is used. The dynamic stability of the system is analyzed considering various rotating speed and size of faults. The system gradually deviates the steady condition and goes to chaos earlier with the bigger rotating speed and fault size. The system bifurcation and chaos characteristics is studied based on the spectrogram, phase plan, bifurcation diagrams and Poincare map, from which the roads to chaos, such as the quasi periodic motion to chaos, paroxysmal and period-doubling bifurcation, are discovered in this paper. The results of the analysis have a certain significance for the study of failure mechanism and evolution rule of train axle box bearing.

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