首页|基于机器视觉与力控的发动机弯管焊缝自动化打磨系统研究

基于机器视觉与力控的发动机弯管焊缝自动化打磨系统研究

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某系列尺寸不一的弯管由2部分在中间对焊而成,目前多采用人工方式进行弯管内壁焊缝的打磨,存在打磨质量与标准不一、效率低和劳动强度大等问题.为此,设计并实现了一种基于机器视觉技术和力控的发动机弯管焊缝自动化打磨系统.利用工业相机模组正对弯管两侧端面并拍摄图像,经图像处理算法处理计算得到弯管两侧端面焊缝起始位置坐标.机械臂根据该坐标调整打磨轨迹并搭载浮动主轴,保持打磨力的恒定并对焊缝不规则区域进行补偿,实现基于位置控制和力控的打磨自适应调整.试验结果表明,系统整体打磨合格率为96.03%,相比人工打磨效率提升95.90%.系统可以在较少人工的参与和干预下完成弯管焊缝的自动化打磨,具有良好的稳定性和使用柔性,并且允许弯管存在一定的变形.
Research on Automatic Grinding System for Longitudinal Weld of Engine Elbow Pipes Based on Machine Vision and Force Control
A series of pipes with different sizes are made of two parts welded in the middle.Nowadays,the inner wall welds of pipes are mostly ground manually,which has some problems such as different grinding quality and standard,low efficiency and high labor intensity.An automatic grinding system based on machine vision technology and force control is designed and implemented in this paper.The industrial camera modules are used to take images of both end faces of the pipes,and the coordinates of starting posi-tion of welds on both end faces are obtained by image processing algorithms.Then,the grinding trajectories of the robotic arm are adjusted according to the coordinates,which is equipped with a floating spindle to keep the grinding force constant and compensate the irregular area of the weld so as to realize the adaptive grinding adjustments based on position control and force control.The test results show that the overall grinding qualification rate of the system is 96.03%,and the grinding efficiency is improved by 95.90%compared with manual grinding.The system can finish the automatic grinding with less manual participa-tion and intervention,has good stability and flexibility,and allows the pipes to have a certain deformation.

weld grindingmachine visionrobotic armforce control

黄钰、陆永华、官文超、刘京京、杨海波

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南京航空航天大学机电学院,江苏 南京 210016

南京工业职业技术大学机械工程学院,江苏南京 210023

焊缝打磨 机器视觉 机械臂 力控

国家自然科学基金资助项目航空科学基金

519752932019ZD052010

2024

机械与电子
中国机械工业联合会科技工作部 机械与电子杂志社

机械与电子

CSTPCD
影响因子:0.243
ISSN:1001-2257
年,卷(期):2024.42(2)
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