摘要
为了实现金刚石砂轮表面二维形貌的全场测量,有效评价砂轮形貌对磨削力、磨削深度、功率消耗、磨削温度、加工精度的影响,提出基于机器视觉的测量方法;结合CCD感光元件和自动砂轮驱动回转技术实现砂轮形貌的非接触全场测量.根据测量对象尺寸和测量特征量优化选取单次采样面积,通过不重叠拼接实现全场成像;对图像进行处理,提取特征磨粒,分析金刚石砂轮表面形貌的二维关键指标.采用搭建的系统对钎焊金刚石砂轮进行测量实验研究,提取磨粒总数为1 518颗,磨粒分布密度为0.5颗·mm^(-2),磨粒平均面积为0.404mm^2,磨粒平均粒径为0.359mm.实验结果表明:文中方法可实现对钎焊金刚石砂轮表面形貌的非接触全场测量,并提供砂轮表面磨粒数、粒径及位置等关键参数.
To realize the measurement and analysis of the whole grinding wheel two-dimensional surface topography for the effective evaluation of the grinding force,grinding depth,power consumption,grinding temperature and machining quality related with the surface,a machine vision-based method was proposed.It combined CCD technology with automatic drive rotary technology to realize the non-contact measurement.The size of sampling areas was determined according to the measured object and measured features and they were stitched together without overlap.The image was processed for grain feature analysis and some key parameters were extracted.A brazed grinding wheel was measured using the system.The results：the number of abrasive grains is 1 518,the grain density is 0.5 grain·mm^-2,the average area of grains is 0.404 mm^2 and the average diameter of grinding wheel is 0.359 mm.Experimental results indicate that the proposed method can realize the non-contact measurement of the whole brazed grinding wheel topography and provide some important parameters such as grain number,grain average diameter and its location.
作者
杨栖凤
崔长彩
黄国钦
YANG Qifeng;CUI Changcai;HUANG Guoqin(Institute of Manufacturing Engineering,Huaqiao University,Xiamen 3G1021,China)
出处
《华侨大学学报（自然科学版）》
CAS
北大核心
2018年第4期479-484,共6页
Journal of Huaqiao University(Natural Science)
基金
国家自然科学基金资助项目(51235004
51475176
51575198)
华侨大学研究生科研创新能力培育计划资助项目(1611303058)
关键词
金刚石砂轮
表面形貌
机器视觉
不重叠拼接
图像处理
grinding wheel
surface topography
machine vision
non overlapping stitching
image processing
