摘要
车轮磨耗是影响铁路运输安全性和经济性的重要因素,且温度对车轮磨耗有较大影响。为此本研究考虑温度对车轮材料弹性模量、硬度和轮轨间摩擦因数的影响,结合FASTSIM程序及Archard磨耗模型推导了温度相关的车轮磨耗预测模型。随后基于MATLAB图形用户界面(GUI)建立了可进行动态磨耗显示的车轮磨耗仿真平台。最后通过算例对该仿真平台的可靠性进行了验证,并分析了温度对蠕滑区分布以及磨耗深度的影响。结果表明该仿真计算平台可以较好地进行动态磨耗仿真;在温度从-20℃变化为40℃过程中,车轮硬度和弹性模量分别减少5.3%和2.2%,而摩擦因数将增加5.7%;随着温度的提升,黏着区面积逐渐增大,而蠕滑区面积和车轮磨耗量均逐渐减小,该趋势与实际情况基本一致,验证了该仿真计算平台的正确性。因此该仿真计算平台可为跨温度区域的车轮磨耗快速预测提供技术支持。
Wheel wear is an important factor affecting the safety and economy of railway transportation,and the temperature has a great influence on the wheel wear.Therefore,considering the influence of temperature on the elastic modulus,hardness and friction coefficient,a temperature-related prediction model of wheel wear was deduced by combining the FASTSIM program and the Archard’s wear model.Then,based on MATLAB/GUI,a wheel wear simulation platform was established,which can display wear dynamically.Finally,the reliability of simulation platform was verified by a numerical example,and the effects of the temperature on the creep zone distribution and the wear depth were investigated.The results show that the simulation platform can be used for the dynamic wear simulation.And when the temperature changes from 20℃to 40℃,the wheel hardness and elastic modulus decrease by 5.3%and 2.2%,respectively,while the friction coefficient increases by 5.7%.Moreover,with the increase of temperature,the adhesion area increases gradually,while the creep area and wheel wear decrease gradually.The above tendencies are basically consistent with the actual situation,which verifies the correctness of the simulation platform.To sum up,the simulation platform established can provide the technical support for the rapid prediction of wheel wear across temperature regions.
作者
冯大刚
阚前华
赵吉中
FENG Dagang;KAN Qianhua;ZHAO Jizhong(School of Mechanics and Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出处
《四川轻化工大学学报（自然科学版）》
CAS
2021年第4期32-39,共8页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
基金
国家自然科学基金面上项目(12072295)
四川省应用基础研究面上项目(2021YJ0050)。
