To explore the high wear-resistant resin based friction materials used for CR 200J,nine resin based friction material formulations with different content of friction reducing components(flake graphite,petroleum coke)and friction increasing components(NFJ high-temperature binder,cashew shell oil friction powder)were designed using orthogonal experimental method.The sample was prepared by thermoforming method,and the average friction coefficient of the sam-ples was tested at braking pressure of 0.8 MPa and rotational speeds of 3 300 r/min,4 200 r/min,and 5 400 r/min.The volume wear rate,thermal degradation performance,and dual mass wear of the samples were calculated.Perform range anal-ysis and homogenization treatment on the average friction coefficient,volume wear rate,thermal degradation performance,and dual mass wear of the samples were carried out,and the formula with excellent comprehensive performance was selected using multiple index weights.The results indicate that flake graphite has a stabilizing effect on the average friction coeffi-cient of resin based friction materials and reduces their thermal degradation performance at high rotational speeds,while the petroleum coke has a stabilizing effect on the average friction coefficient of resin based friction materials during low-speed braking.The NFJ high-temperature binder has no significant effect on the various properties of resin based friction materi-als,while the cashew shell oil friction powder exhibits excellent viscoelasticity at high rotational speeds,which is beneficial for improving the average friction coefficient of the materials,reducing the volume wear rate and dual mass wear of the ma-terials.The optimal formula was obtained by using multiple indicator weights,with a combination of mass fraction of 1％flake graphite,4％petroleum coke,3％NFJ high-temperature binder,and 6％cashew shell oil friction powder.
关键词
树脂基摩擦材料/摩擦磨损性能/正交试验法/多指标权重优选/热衰退性能
Key words
resin based friction material/friction and wear performance/orthogonal test method/multi-index weight opti-mization/thermal recession performance
维普
万方数据