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图象处理在窄间隙MIG/MAG焊在线检测中的应用

IMAGE PROCESSING METHOD APPLIED TO ON-LINE DETECTION OF NARROW GAP WEAVING MIG/MAG

  • 摘要: 作者采用电弧直接视觉传感器和图象处理的方法成功地对窄间隙气体保护焊摆动焊接过程进行了在线检测。每秒钟采样和处理图象25~30帧,可检测出焊丝端横向摆动的轨迹,计算出焊丝摆动范围及其对坡口两侧壁的偏差。检测的结果不仅可做为理想的控制信号,实现电弧摆动对侧壁的自动跟踪,而且为进一步研究电弧摆动状况对焊接参数、焊接质量的影响及其实时控制提供了新的手段。

     

    Abstract: The authors developed an arc direct visual sensor and image processing algerithm by means of which the on-line detection of the narrow gap weaving MIG/MAG process can be performed successfully. As the speed of image pickup and processing come up to the level of 20~30 images per second, the locus of wire tip transverse weaving can be detected, and the width of weaving as well as the asymmetric value of wire weaving with respect to the sidewalk can be calculated. These results may be used as the ideal signals for controlling the weaving of arc automatically. This technique is also a new useful means of investigating the influence of arc weaving on the welding parameters, shape of molten pool and weld quality, together with their realtime control.

     

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