利用反向电极图像监控焊枪位置和姿势 - 第二部分,REI-TPA 模型的实验和分析

YU Fu, Runquan Xiao, Shanben Chen
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引用次数: 0

摘要

本文是前一篇论文的续篇。在之前的研究(参考文献 1)中,我们建立了一个 REI-TPA 模型,以量化反向电极图像(REIs)与焊枪位置和姿态(TPA)之间的关系。本研究利用 S304 不锈钢板上的焊珠焊接实验验证了 REI-TPA 模型。利用开发的稳健算法从图像中提取了 REI 和电极的轮廓以及焊接熔池的几何形状,并利用焊接电压计算了电弧长度。通过将提取的参数输入 REI-TPA 模型,计算出焊枪相对于正确位置和姿态的偏移距离和偏转角度。计算结果与实验数据进行了比较。结果表明,该模型是正确的,可以利用 REI-TPA 模型对焊枪进行监测。REI-TPA 模型可应用于 TPA 的实时控制,是对焊接被动视觉图像应用的补充,也是焊接过程中多种信息获取和处理方法的延伸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring Welding Torch Position and Posture Using Reversed Electrode Images – Part II, Experimental and Analysis for the REI-TPA Model
This paper is a sequel to the previous paper. In the previous research (Ref. 1), a REI-TPA model was established to quantitively relate reversed electrode images (REIs) to welding torch position and attitude (TPA). In this research, the REI-TPA model was validated with bead-on-plate welding experiments on S304 stainless steel plates. The contours of the REI and electrode as well as the weld pool geometry were extracted from the image with a developed, robust algorithm, and the arc length was calculated with welding voltage. The offset distance and deflection angle of the welding torch relative to the correct position and attitude were calculated by inputting the extracted parameters into the REI-TPA model. The computational result was compared to the experimental data. The result showed that the model is correct and the monitoring of the welding torch with the REI-TPA model is available. The REI- TPA model can be applied to real-time control of TPA, which is a supplement to the application of the weld passive visual image and an extension of multi- information acquisition and processing methods in the welding process.
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