Tracking using pattern matching of keyhole in visual robotic plasma welding
Tracking using pattern matching of keyhole in visual robotic plasma welding
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DOI：
10.1007/s00170-018-2358-2
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Weixi Wang;Qi Wang;S. Yamane;Takaaki Hirano;K. Hosoya;Toru Nakajima;H. Yamamoto
中科院分区：
文献类型：
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作者：
Weixi Wang;Qi Wang;S. Yamane;Takaaki Hirano;K. Hosoya;Toru Nakajima;H. Yamamoto
与传统焊接技术相比，等离子弧焊(PAW)具有无飞溅、无烟尘等优点。由于焊接质量高的特点，等离子弧焊在焊接行业中越来越受到人们的关注。为了实现长时间的稳定焊接，在焊接过程中采用自动控制是必不可少的。考虑到焊接质量取决于跟踪结果的好坏和小孔的维护，提出了一种基于小孔监控的焊缝自动跟踪的图像处理方法。这种方法可以帮助焊接工程师在等离子体电极隐藏在焊枪内的情况下，实现可视化的自动控制，而不是用人眼来示教等离子焊枪。从而实现了对焊接结果的成功跟踪，很好地提高了焊接工作的效率，有效地保证了焊接质量。
Compared to conventional welding technique, plasma arc welding (PAW) is known without spatter and fume. Owing to the characteristic of high welding quality, PAW becomes more and more attractive in welding industry. In order to achieve stable welding for a long time, it is essential to employ an automatic control during welding process. Welding quality in PAW is considered depending on the performance of tracking results and maintenance of keyhole that an image processing method for automatic tracking of weld line has been developed under monitoring of keyhole. This method can help welding engineers to make a visible automatic control instead of human sight to teach plasma torch on condition that plasma electrode hides in the torch. As a consequence, successful tracking has been achieved in welding results that has well improved the efficiency of welding work and effectively ensure the welding quality.