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Chaos and Stability of Spur Gear Transmission System for Locomotive Based on Energy Method and Floquet Theory

机译:基于能量法和浮球理论的机车正齿轮传动系统的混沌与稳定性

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摘要

Considering the internal and external excitations such as time-varying mesh stiffness (TVMS), backlash, transmission error, torque of the traction motor, and load torque of the wheel/rail, a lumped mass model of the spur gear drive system for a railway locomotive is established. Based on Ma models in the relevant literatures, TVMS is calculated by simplifying a gear tooth as a cantilever beam on the root circle, taking into account the effects of extended tooth contact as well as revised foundation stiffness. The bifurcation diagrams and Lyapunov exponent curves of the model parameters are drawn by the numerical method, and the mechanism of chaos evolution of the gear transmission system is analyzed. According to the Floquet theory, variation curves of the maximum Floquet multiplier with pinion speed and support stiffness ratio are drawn by numerical methods. Combined with the bifurcation diagram of the system, the influences of model parameter on the stability of the system are analyzed, and the evolution laws of periodic motion and bifurcation phenomenon are gained. These research results provide the theoretical evidence of model parameter design of the locomotive transmission system.
机译:考虑到内部和外部激励,例如时变网格刚度(TVMS),齿隙,传动误差,牵引电动机的扭矩以及轮/轨的负载扭矩,铁路正齿轮驱动系统的集总质量模型机车成立。基于相关文献中的Ma模型,TVMS的计算是通过将齿轮齿简化为根圆上的悬臂梁,同时考虑到延长的齿接触和修正的基础刚度的影响。利用数值方法绘制了模型参数的分叉图和李雅普诺夫指数曲线,分析了齿轮传动系统混沌演化的机理。根据浮球理论,通过数值方法绘制了最大浮球乘数随小齿轮速度和支撑刚度比的变化曲线。结合系统的分岔图,分析了模型参数对系统稳定性的影响,得出了周期运动和分岔现象的演化规律。这些研究结果为机车传动系统的模型参数设计提供了理论依据。

著录项

  • 来源
    《Shock and vibration》 |2018年第10期|5691892.1-5691892.15|共15页
  • 作者单位

    Southwest Jiaotong Univ, Sch Mech Engn, Chengdu 610031, Sichuan, Peoples R China;

    Southwest Jiaotong Univ, Sch Mech Engn, Chengdu 610031, Sichuan, Peoples R China;

    Southwest Jiaotong Univ, Sch Mech Engn, Chengdu 610031, Sichuan, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:09:59

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