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A Vision-Aided 3D Path Teaching Method before Narrow Butt Joint Welding

机译:窄对接焊接前的视觉辅助3D路径教学方法

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For better welding quality, accurate path teaching for actuators must be achieved before welding. Due to machining errors, assembly errors, deformations, etc., the actual groove position may be different from the predetermined path. Therefore, it is significant to recognize the actual groove position using machine vision methods and perform an accurate path teaching process. However, during the teaching process of a narrow butt joint, the existing machine vision methods may fail because of poor adaptability, low resolution, and lack of 3D information. This paper proposes a 3D path teaching method for narrow butt joint welding. This method obtains two kinds of visual information nearly at the same time, namely 2D pixel coordinates of the groove in uniform lighting condition and 3D point cloud data of the workpiece surface in cross-line laser lighting condition. The 3D position and pose between the welding torch and groove can be calculated after information fusion. The image resolution can reach 12.5 μm. Experiments are carried out at an actuator speed of 2300 mm/min and groove width of less than 0.1 mm. The results show that this method is suitable for groove recognition before narrow butt joint welding and can be applied in path teaching fields of 3D complex components.
机译:为了获得更好的焊接质量,必须在焊接之前对执行器进行精确的路径示教。由于加工误差,组装误差,变形等,实际的凹槽位置可能与预定路径不同。因此,使用机器视觉方法识别实际的凹槽位置并执行精确的路径示教过程非常重要。但是,在狭窄对接的教学过程中,由于适应性差,分辨率低和缺少3D信息,现有的机器视觉方法可能会失败。提出了一种对接窄缝焊接的3D路径教学方法。该方法几乎同时获得两种视觉信息,即均匀照明条件下凹槽的2D像素坐标和交叉线激光照明条件下工件表面的3D点云数据。信息融合后,可以计算出焊枪和焊缝之间的3D位置和姿势。图像分辨率可以达到12.5μm。实验以2300 mm / min的执行器速度和小于0.1 mm的凹槽宽度进行。结果表明,该方法适用于窄对接焊接前的坡口识别,可应用于3D复杂零件的路径教学领域。

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