考虑磨损率随温度变化的列车制动摩擦块高温磨损仿真分析
Simulation of High-temperature Wear Degradation of Train Brake Pad Friction Block Considering Temperature-dependent Wear Rate
蒋鑫池 1卢纯 2莫继良 2陈孝婷 1张庆贺 1赵婧1
作者信息
- 1. 西南交通大学机械工程学院 成都 610031
- 2. 西南交通大学机械工程学院 成都 610031;西南交通大学轨道交通运维技术与装备四川省重点实验室 成都 610031
- 折叠
摘要
随着铁路运输速度的提高和复杂线路的开通,制动闸片摩擦块的高温磨损问题日益凸显.为此,首先通过制动台架试验测得铜基粉末冶金摩擦块磨损率随温度的变化关系,然后建立了考虑磨损率随温度变化的摩擦块高温磨损仿真分析方法,最后研究了随温度变化的磨损率对摩擦块摩擦磨损行为预测准确性的影响.结果表明,制动摩擦块的磨损率随着温度的上升迅速升高.考虑随温度变化的磨损率与否,对于摩擦块的磨损量和磨损分布预测至关重要.当制动界面温度低于80 ℃时,不考虑界面温度对摩擦块磨损率影响时的预测误差在10％以内;当界面温度高于200 ℃时,不考虑磨损率随温度变化的摩擦块磨损预测误差超过60％.研究结果可为我国铁路列车制动摩擦块磨损行为的精准预测提供基础试验依据和可靠分析方法.
Abstract
With the increase in speed and the opening of complex lines,the high-temperature wear of friction blocks is more serious.To study the high-temperature wear of friction blocks,the relationship between the wear rate of copper-based powder metallurgy friction blocks and temperature is tested.A simulation method for high-temperature wear of friction block considering the influence of temperature-dependent wear rate is put forward.The effect of temperature-dependent wear rate on the accurate prediction of friction and wear behavior of friction bocks is studied.The results indicate that with the increase in temperature,the wear rate of the friction block increases seriously.The temperature-dependent wear rate is crucial for the accurate prediction of the wear amount and distribution.When the interface temperature is lower than 80 ℃,the prediction error without considering the temperature-dependent wear rate is within 10％.When the interface temperature is higher than 200 ℃,the prediction error without considering the temperature-dependent wear rate is more than 60％.The results are important for accurate wear prediction of railway friction blocks.
关键词
磨损率/制动摩擦块/高温磨损/磨损预测/铁路列车Key words
wear rate/brake friction block/high-temperature wear/wear prediction/railway train引用本文复制引用
基金项目
国家自然科学基金(52105160)
国家自然科学基金(U22A20181)
四川省科技计划(2020JDTD0012)
四川省自然科学基金(2022NSFSC1877)
中央高校基本科研业务费专项(2682021CX028)
出版年
2024
NETL
NSTL
万方数据