基于机器视觉的刹车盘工件上下料系统

doi:10.16039/j.cnki.cn22-1249.2024.01.013

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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。

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	谢延楠
	刘兴德

关键词: 机器视觉工业机器人识别抓取

Abstract: 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 is proposed. It combines vision with industrial robots and builds a system that can accurately identify the pose of the workpiece is obtained, and the pose result is converted into the coordinate system of the robot, thereby guiding the robot to accurately grasp the workpiece. Experiments have proven that the system has autonomous flexibility and can successfully complete the loading and unloading of brake discs.

Key words: machine vision industrial robot distinguish grab

出版日期: 2024-01-25 发布日期: 2024-01-25 整期出版日期: 2024-01-25

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引用本文:

谢延楠, 刘兴德. 基于机器视觉的刹车盘工件上下料系统[J]. 吉林化工学院学报, 2024, 41(1): 76-81.
XIE Yannan, LIU Xingde. Machine Vision based Loading and Unloading System for Brake Disc Workpieces. Journal of Jilin Institute of Chemical Technology, 2024, 41(1): 76-81.

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https://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2024.01.013 或 https://xuebao.jlict.edu.cn/CN/Y2024/V41/I1/76

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