基于机器视觉的刹车盘工件上下料系统  

Machine Vision based Loading and Unloading System for Brake Disc Workpieces

作　　者：谢延楠 刘兴德[2] XIE Yannan;LIU Xingde(School of Information and Control Engineering,Jilin Institute of Chemical Technology,Jilin City 132022,China;School of Mechanical and Electrical Engineering,Jilin Institute of Chemical Technology,Jilin City 132022,China)

机构地区：[1]吉林化工学院信息与控制工程学院,吉林吉林132022 [2]吉林化工学院机电工程学院,吉林吉林132022

出　　处：《吉林化工学院学报》2024年第1期76-81,共6页Journal of Jilin Institute of Chemical Technology

摘　　要：在传统刹车盘的生产过程中,几乎都采用人力进行加工机床上下料。这种作业方式存在搬运效率低、生产成本高、无法满足高效生产的问题,提出一种基于机器视觉的刹车盘工件的上下料系统,将视觉与工业机器人相结合,搭建的系统能够准确地识别出工件的位姿,并将位姿结果转换到机器人的坐标系下,从而引导机器人准确抓取工件。经实验证明,该系统具有自主灵活性,且能够顺利完成刹车盘的上下料。In the production process of traditional brake discs,manual labor is almost always used for loading and unloading the machine tools.This operation method has the problems of low handling efficiency,high production cost,and cannot meet the requirements of efficient production.A loading and unloading system for brake disc workpieces based on machine vision was proposed.It combines vision with industrial robots and builds a system that can accurately identify the pose of the workpiece was obtained,and the pose result was converted into the coordinate system of the robot,thereby guiding the robot to accurately grasp the workpiece.Experiments had proven that the system has autonomous flexibility and can successfully complete the loading and unloading of brake discs.

关 键 词：机器视觉 工业机器人 识别 抓取 

分 类 号：TP23[自动化与计算机技术—检测技术与自动化装置]