摘要
基于金属磨损试验以及得出的摩擦系数和磨损形貌的变化规律,用轮廓算术平均偏差R_a、均方差σ、统计分布参数、偏态系数R_(sk)和峰态系数R_(ku)等可用于分析摩擦副磨损表面特性的典型表面粗糙度表征参数,定量分析了磨损过程中表面粗糙度的变化规律。结果表明,磨损稳定后,R_a和σ逐渐降低,磨损表面凸峰是钝峰,轮廓高度分布越来越符合正态分布且数据分布越来越集中。
Based on the wear test of metal materials and the variation law of friction coefficients and the surface topographies of wear,the variation of surface roughness during the process of wear was quantitatively studied by using the typical characterizing parameters such as arithmetical mean deviation of the profile（R_a）,mean square error（σ）,statistical distribution parameters,coefficient of skewness（R_（sk）） and coefficient of kurtosis（R_（ku））.The results indicated that after the wear was stable,R_a andσwere both decreased gradually and the profile peaks on the wear surface were blunt.In addition,the distribution of profile＇s height was more and more near normal distribution and the data were more and more concentrated.
出处
《材料研究学报》
EI
CAS
CSCD
北大核心
2011年第5期483-488,共6页
Chinese Journal of Materials Research
基金
国家自然科学基金51075387资助项目~~
关键词
材料表面与界面
磨损
表面粗糙度
表征参数
分布
机理
surface and interface in the materials
wear
surface roughness
characterizing parameters
distribution
mechanism
