基于视觉的X65管线钢管闪光焊接焊缝残渣特征提取及研究

Study on formation of welding slag during the X65 pipeline steel flash welding based on vision sensor

针对X65管线钢管闪光焊接过程中因剧烈飞溅而难以对残渣形成过程进行监测,设计了管道闪光焊接残渣图像采集系统,对残渣图像进行ROI区域确定、中值滤波、亮度变换、阈值分割、消除孤立小区域噪声等处理,提取残渣区域的形貌特征,通过计算画出残渣区域面积随时间的变化曲线图。试验表明,上述残渣图像处理方法图像处理效率高,能够得到清晰的残渣形貌特征,面积—时间曲线图反应了残渣形成过程,为下一步X65管线钢管闪光焊接质量控制研究打下了一定基础。

In order to accurately monitor and describe the formation of welding slag during the pipeline flash welding. First, we de- signed a imaging system to capture welding slag images inside the pipe. Secondly we put forward a series of processing steps for welding slag images which include determining areas of the image ROI, median filtering, brightness transformation, image thresholding segmen- tation, small area filtering, then calculating the area of residue and extracting weld morphology, obtain a graph of the weld slag area. Experiments show that the above method can obtain high quality images of welding slag, and also reducing the size of the processing image, reducing the amount of data, saving time, laying a solid foundation for further work.