摘要
为了分析表面粗糙度对金属材料滚动接触疲劳性能的影响,提出一种基于线结构光的滚动接触疲劳试件表面粗糙度测量方法,并构建了在线测量与分析系统。通过安装在滚动接触疲劳试验机上的线结构光传感器采集试件表面点云;采用k维树最近邻搜索方法逐点进行邻域分析与统计,利用距离阈值剔除点云中的离群点;针对从原始轮廓分离粗糙度轮廓时,由传统高斯滤波器所导致的端部效应,采用线性外插法进行修正,从而准确计算试件表面粗糙度Ra值。实验结果表明:表面粗糙度测量平均绝对误差为0.08μm,平均相对误差为6.74%,满足粗糙度测量精度要求,为金属材料疲劳损伤演变过程分析提供依据。
To analyze the effects of surface roughness on rolling contact fatigue(RCF) performances of metallic materials, an on-line surface roughness measurement method of RCF test based on line-structured laser was proposed, and a corresponding measurement and analysis system was constructed.First, the surface point cloud of specimens was obtained by a linear structured laser sensor installed on a rolling contact fatigue testing machine.A k-dimension tree nearest neighbor search method was used to analyze the neighborhood of each point, and the distance threshold value was set to remove the outliers, the end effects caused by the traditional Gaussian filter were corrected by linear extrapolation method when the roughness profile was separated from the original profile, and the Ra values of surface roughness were acquired accurately.Results indicate that the average absolute error is 0.08 μm and the average relative error is 6.74%,which meets the requirements of surface roughness measurement, and provides a basis for the analysis of fatigue damage evolution of metallic materials.
作者
秦志鹏
吕庆
闫乐天
杨长辉
QIN Zhi-peng;LYU Qing;YAN Le-tian;YANG Chang-hui(College of Mechanical Engineering,Chongqing University of Technology,Chongqing 400054,China)
出处
《仪表技术与传感器》
CSCD
北大核心
2022年第12期89-95,共7页
Instrument Technique and Sensor
基金
重庆市技术创新与应用发展项目(cstc2021jscx-gksbX0039,cstc2020jscx-gksbX0004)
重庆市技术创新与应用发展专项面上项目(cstc2020jscx-msxmX0042)。
关键词
滚动接触疲劳
表面粗糙度
线结构光
在线测量
点云
rolling contact fatigue
surface roughness
line-structured laser
on-line measurement
point cloud
