润滑组元及SiC对铜基粉末冶金高铁制动闸片性能的影响
Study on preparation and performance of copper-based powder metallurgy brake pad with excellent wear resistance
左鹏军 1刘文 2周吉峰 3丁春华 4王云平 2刘世锋5
作者信息
- 1. 陕西华夏粉末冶金有限责任公司,陕西咸阳 712000;陕西省机械研究院有限公司,陕西咸阳 712000
- 2. 陕西省机械研究院有限公司,陕西咸阳 712000
- 3. 陕西科技控股集团有限责任公司,陕西西安 710077
- 4. 西安交通大学航天航空学院,陕西西安 710049
- 5. 西安建筑科技大学冶金工程学院,陕西西安 710055
- 折叠
摘要
实验通过调整润滑组元及SiC配比,设计了 5种铜基粉末冶金高铁制动闸片配方,并对其物理力学性能和摩擦磨损性能进行了测试分析.研究结果表明,SiC颗粒对Cu基体表面具有强化作用,能显著提升闸片的耐磨性;Cr粉和高碳Cr-Fe粉同时使用可以对材料起到协同强化作用.MoS2和不同形状尺寸石墨搭配使用有效降低了材料磨耗量.当配方中SiC配比为1.5％且润滑组元(片状石墨∶颗粒石墨∶MoS2)比例为9∶8∶1时闸片表现出优异的高温稳定性、导热散热性和耐磨损性能.当制动速度为350 km/h时,其平均摩擦因数为0.337,摩擦表面最高温度为372 ℃,磨耗量仅为0.034 7 cm3/MJ.完全满足时速350 km及以上高铁制动要求.本研究对相似粉末冶金摩擦材料性能研究开发具有借鉴意义.
Abstract
In this paper,five kinds of copper-based powder metallurgy brake pads were independently designed,in which the ratio of different shape graphite and SiC content were adjusted,and the physical and mechanical properties,the friction and wear properties of five formula samples were tested and analyzed under the same experimental conditions.The results show that SiC particles have a reinforcing effect on Cu matrix surface,which can significantly improve the wear resistance of brake plate.The simultaneous use of Cr powder and high carbon Cr-Fe powder can strengthen the materials together.When the ratio of SiC is 1.5％and the ratio of lubri-cation group(sheet graphite∶granular graphite∶MoS2)is 9∶8∶1,the brake plate shows excellent high tempera-ture stability,thermal conductivity and heat dissipation and wear resistance,When the braking speed is 350 km/h,the average friction coefficient is 0.337,the highest temperature of the friction surface is 372 ℃,and the wear consumption is only 0.034 7 cm3/MJ,which can fully meet the braking requirements of 350 km/h and and above high-speed trains.This study has an important reference significance for the development and application of copper-based powder metallurgy brake pieces.
关键词
高铁/铜基粉末冶金/制动闸片/摩擦因数/磨耗量Key words
high-speed train/copper-based powder metallurgy/brake pad/friction factor/wear consumption引用本文复制引用
出版年
2024
NETL
NSTL
万方数据