摘要
基于三维视觉检测原理对三维显微光切法表面粗糙度非接触测量技术进行研究。使激光光线与被测工件表面相切,利用工业相机采集获取表面微观轮廓,采用图像处理技术恢复出微观轮廓的几何形貌。根据设计算法,由表面粗糙度评定算法得到表面粗糙度的R_a、R_z等评定指标。这种测量方法效率高,适用范围广,且非接触式测量可避免对工件表面的损坏。
Based on three-dimensional vision detection,a non-contact measurement method of surface roughness is researched.Through the laser light cutting with workpiece,the microscopic contour of workpiece can be detected by industrial camera and the geometric appearance of microscopic contour in workpiece can be recovered by image processing.According to the designed algorithm,the criterion of surface roughness like R_a,R_z is obtained.This detection method can measure faster with wide range of applications and avoid mar for the workpiece in the measurement.
引文
[1]路恩会.基于机器视觉的磨削表面粗糙度检测方法研究[D].长沙:湖南大学,2016.
[2]杨洁,李乐.基于机器视觉的表面粗糙度测量与三维评定[J].光学技术,2016,42(6):491-495.
[3]费业泰.误差理论与数据处理(第六版)[M].北京:机械工业出版社,2005.
[4]刘斌,冯其波,匡萃方.表面粗糙度测量方法综述[J].光学仪器,2004(5):54-58.
[5]雒建斌,王文,Patrick P L Wong,等.表面粗糙度的激光在线测量[J].清华大学学报(自然科学版),1999(2):7-11.
[6]李博,黄镇昌,全燕鸣.光切法在动态表面粗糙度检测中的应用[J].微计算机信息,2007(10):127-129.
[7]熊永超,贺春东,杨伟红.基于CCD技术的非接触在线检测仪[J].微计算机信息,2005(4):178-179.
[8]王仲春,高岳,黄粤熙,等.显微成像检测表面粗糙度[J].光学技术,1998(5):46-48.