A welding tumor cleaning equipment based on image recognition system

一种基于图像识别系统的焊瘤清理设备 A welding tumor cleaning equipment based on image recognition system 郭吉萍 GUO Jiping 1 first-author 吴鸣 WU Ming 2 胡锦扬 HU Jinyang 2 许明方 XU Mingfang 2 王善林 WANG Shanlin 2 陈玉华 CHEN Yuhua 2 南昌航空大学科技学院 南昌航空大学科技学院 Jiangxi Key Laboratory of Forming and Joining Technology for Aerospace Components,Nanchang Hangkong University Jiangxi Key Laboratory of Forming and Joining Technology for Aerospace Components,Nanchang Hangkong University 南昌航空大学江西省航空构件成形与连接重点实验室 南昌航空大学江西省航空构件成形与连接重点实验室 Science and Technology College ,Nanchang Hangkong University Science and Technology College ,Nanchang Hangkong University 针对现有磨削式和切削式设备限制焊管尺寸、花费大量的人工时间等问题,自行设计了一套带图像识别控制系统的焊瘤清理设备,并改进当前固定的夹持装置,以实现在进行不同尺寸的焊管清瘤工作时都能达到优异的效果。设备的图像识别控制系统能够实时采集焊管内部图像,并通过PC端的图像处理程序调节打磨机的位置及角度,实现整个设备的自动化运行。与传统清除焊瘤设备相比,在操作过程中具有简单方便、节省人工等优点。此外,将传统焊管固定式夹持结构改为卡盘夹紧旋转式,能够提升清理精度和效率并适应不同形状和高度的焊瘤。 In view of the existing grinding and cutting equipment to limit the size of welded pipe,spend a lot of labor time and other problems,a set of welding tumor cleaning equi-pment with image recognition control system is designed,and the current fixed clamping device is improved to achieve excellent results in the work of different sizes of welded pipe nodule cleaning. Image recognition control system of the equipment can collect the internal image of the welded pipe in real time,and adjust the position and angle of the grinding machine through the image processing program at the PC end to realize the automatic operation of the whole equipment. Com-pared with the traditional welding machine,it has the advantages of simple and convenient operation,saving labor and so on. In addition,changing the traditional fixed clamping structure of the welded pipe to the chuck clamping rotating type can improve the cleaning accuracy and efficiency and adapt to welding tumor of different shapes and heights. 焊瘤清理 图像识别 设计分析 卡盘夹紧旋转结构 solder joint cleaning image recognition design analysis chuck clamping rotating structure V263;TG409 国家自然科学基金(51865035);国防基础科研计划项目(JCKY2018401C003) 2022-03-08 8 50