滚动接触疲劳的机器视觉检测系统设计  

Design of machine vision detection system for rolling contact fatigue

作　　者：黄琳 冯柯茹 杨岩 李晖[2] 杨长辉 HUANG Lin;FENG Keru;YANG Yan;LI Hui;YANG Changhui(College of Mechanical Engineering,Chongqing University of Technology,Chongqing 400054,China;College of Materials Science and Engineering,Chongqing University of Technology,Chongqing 400054,China;College of Mechanical Engineering,Xi’an Jiaotong University,Xi’an 710049,China)

机构地区：[1]重庆理工大学机械工程学院,重庆400054 [2]重庆理工大学材料科学与工程学院,重庆400054 [3]西安交通大学机械工程学院,陕西西安710049

出　　处：《传感器与微系统》2020年第10期90-92,96,共4页Transducer and Microsystem Technologies

基　　金：重庆市产业类重点研发专项项目(CSTC2018JSZX-CYZD0472);重庆高校创新团队建设计划资助项目(CXTDG20162017)。

摘　　要：针对目前采用的滚动接触疲劳检测法对试样失效判断不准确的问题,研发了一种基于机器视觉的滚动接触疲劳失效面积量化检测及失效判断的在线检测系统。对比了通过人工标记金相显微镜拍摄疲劳点边缘获得的疲劳点面积和该系统所检测的疲劳点面积,确定系统的检测精度。对比结果表明:对单个疲劳点的最大相对检测误差为5.56%,平均误差为3.21%。该系统可以在1.97 s内完成一次检测,满足实际的检测需求,实现了试样表面疲劳点的量化检测和失效状态的准确判断。Aiming at the problem of inaccurate failure judgment of the rolling contact fatigue detection method currently adopted,an on-line detection system based on machine vision is researched and fabricated.Obtain the surface fatigue point of the roller sample and its area quantitative statistics to realize the accurate judgment of fatigue failure.The detection accuracy of the system is determined by comparing the area of the fatigue point obtained by manually marking the edge of the fatigue point with the metallographic microscope and the area of the fatigue point detected by the system.The comparison results show that the maximum relative detection error for a single fatigue point is 5.56%and the average error is 3.21%.The system complete a test within 1.97 s to meet the actual detection requirements,and achieve quantitative detection of the fatigue point of the roller sample surface and accurate judgment of the failure state.

关 键 词：滚动接触疲劳 机器视觉 量化检测 失效判断 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]