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Vision based measuring system for both weld pool and root gap in continuous current GTAW

机译:基于视觉的连续电流GTAW焊缝池和根部间隙测量系统

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摘要

A low cost vision based measuring system is developed to detect both the weld pool geometry and root gap simultaneously. Efforts are made from both hardware and software aspects to decrease the strong interference from arc light during gas tungsten arc welding (GTAW) process with continuous current. A normal charge coupled device (CCD) camera is cooperated with specially made composite filter lens and the video signals before A/D conversion are adjusted according to the welding current. Clear images of both root gap and weld pool are captured under different welding parameters. The grey level distribution characteristics of root gap edges and weld pool edges in images are analysed and utilised for developing the algorithms for image processing. The continuum of weld pool edge and the linear features of root gap are also utilised in the algorithm. The results show that the algorithms can extract the weld pool edge and root gap edge effectively. A solid foundation for weld seam tracking and weld penetration control by a single sensor is thus established.
机译:开发了一种基于低成本视觉的测量系统,可同时检测焊缝几何形状和根部间隙。在硬件和软件方面都做出了努力,以减少在连续电流的钨极气体保护弧焊(GTAW)过程中电弧光产生的强烈干扰。普通电荷耦合器件(CCD)相机与特制的复合滤光镜配合使用,根据焊接电流调整A / D转换前的视频信号。根部间隙和焊缝池的清晰图像均在不同的焊接参数下捕获。分析了图像中根部间隙边缘和焊缝边缘的灰度分布特征,并将其用于开发图像处理算法。该算法还利用了熔池边缘的​​连续性和根部间隙的线性特征。结果表明,该算法可以有效地提取熔池边缘和根部间隙边缘。这样就为通过单个传感器进行焊缝跟踪和焊缝熔深控制奠定了坚实的基础。

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