), 赵达, 范帆 上海交通大学 机械与动力工程学院，上海 200240
收稿日期:2019-10-14出版日期:2021-03-01发布日期:2021-04-02通讯作者:许黎明E-mail:Limingxu@sjtu.edu.cn作者简介:牛牧(1994-)，男，上海市人，硕士生，现主要从事智能磨削技术研究．基金资助:国家自然科学基金资助项目(51575350)Workpiece-Contour-Image Based Wheel Wear Online Detection Methodology
NIU Mu, XU Liming(), ZHAO Da, FAN Fan School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Received:2019-10-14Online:2021-03-01Published:2021-04-02Contact:XU Liming E-mail:Limingxu@sjtu.edu.cn摘要/Abstract
摘要： 研究一种基于机器视觉的砂轮磨损在线检测和补偿方法，介绍基于工件局部轮廓图像的砂轮磨损在线检测原理，分析了由砂轮磨损引起的轮廓误差在线补偿方法．在此基础上，在所开发的复杂轮廓磨削平台上进行了试验研究．研究结果表明：所提出的砂轮磨损检测和误差补偿方法可以有效地进行实时在线检测砂轮的磨损程度，并能补偿主要由砂轮磨损引起的轮廓加工误差，提高工件的加工精度，为砂轮磨损的在线检测以及砂轮修整预报提供了一种新的方法．
关键词: 曲线磨削, 砂轮磨损, 机器视觉, 磨损检测, 误差补偿
Abstract: A method for online detection and compensation of grinding wheel wear based on machine vision is proposed in this paper. The principle of workpiece-contour-image (WCI) based online wheel wear detection is presented, and the online compensation of wheel-wear-induced contour error is analyzed, based on which, studies are conducted on the developed complex contour grinding platform. The results reveal that the proposed method can effectively detect the wheel wear in real-time and compensate the contour error caused by wheel wear to improve the machining accuracy. The research provides a new method for online detection of wheel wear and prediction of wheel dressing.
Key words: contour grinding, wheel wear, machine vision, wear detection, error compensation
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