To obtain a deep insight into keyhole tungsten inert gas welding, it is necessary to observe the dynamic behavior of the weld pool and keyhole. In this study, based on the steel/glass sandwich and high dynamic range camera, a vision system is developed and the keyhole-weld pool profiles are captured during the real-time welding process. Then, to analyze the dynamic behavior of the weld pool and keyhole, an image processing algorithm is proposed to extract the compression depth of the weld pool and the geometric parameters of the keyhole from the captured images. After considering the variations of these parameters over time, it was found that the front and rear lengths of the keyhole were dynamically adjusted internally and had opposite trends according to the real-time welding status while the length of the keyhole was in a quasi-steady state. The proposed vision-based observation method lays a solid foundation for studying the weld forming process and improving keyhole tungsten inert gas welding.

为了深入了解锁孔钨极惰性气体保护焊，必须观察焊缝和锁孔的动态行为。在这项研究中，基于钢/玻璃三明治和高动态范围相机，开发了视觉系统，并在实时焊接过程中捕获了锁孔焊池轮廓。然后，为了分析熔池和锁孔的动态行为，提出了一种图像处理算法，用于从捕获的图像中提取熔池的压缩深度和锁孔的几何参数。在考虑这些参数随时间的变化后，发现锁孔的前后长度在内部动态调整，并且在锁孔的长度处于准稳定状态时根据实时焊接状态具有相反的趋势。州。