快反镜辅助的回转刀具磨损状态在机检测技术研究  

Fast Steering Mirror Assisted On-machine Detection Technique of Wear Condition of Rotary Tool

作　　者：胡家皓 闵峻英[1] 李永记 郝沛时 林建平[1] HU Jiahao;MIN Junying;LI Yongji;HAO Peishi;LIN Jianping(School of Mechanical Engineering,Tongji University,Shanghai 201804,China)

机构地区：[1]同济大学机械与能源工程学院,上海201804

出　　处：《机械科学与技术》2021年第10期1536-1540,共5页Mechanical Science and Technology for Aerospace Engineering

摘　　要：在机检测技术可实现刀具在工作状态下的实时检测,有助于及时发现刀具质量问题,并提高检测效率。基于机器视觉技术,本文将快反镜用于辅助工业相机直接拍摄旋转状态下的刀具图像;建立了图像采集系统,研究了快反镜偏转关系模型,并在此基础上开发快反镜控制程序;在获取刀具图像后,基于OpenCV库进行图像处理,获取刀具磨损面积值;将该检测系统应用于工业机器人铣削实验平台上,实验结果验证了该技术的有效性。The on-machine detection technique can realize the real-time monitoring of a tool in working state,which is of the significance to identify quality issues of the tool in time and improves the detection efficiency.Based on the machine vision techniques,a fast steering mirror was used to assist industrial camera in capturing clear tool images,and an image acquisition system was established in this paper.A control program was developed by investigating the deflection model for the fast steering mirror.Image processing based on the Open CV library was performed to obtain the tool wear area from the captured clear tool image.In addition,the on-machine detection technique was applied to a milling process with an industrial robot and exhibits great effectiveness.

关 键 词：机器视觉 快反镜 刀具磨损 在机检测 图像处理 

分 类 号：TG71[金属学及工艺—刀具与模具] TP277[自动化与计算机技术—检测技术与自动化装置]