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Weld pool oscillation frequency in pulsed gas tungsten arc welding with varying weld penetration

机译:不同焊缝熔深的脉冲气体钨极氩弧焊的熔池振荡频率

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Control of weld joint penetration is a fundamental issue in intelligentizing the automatic robotic welding to a level comparable with skilled human welders. The oscillation of the weld pool has been found to be closely related to the weld penetration but existing technologies that are based on fluctuation in arc voltage or arc length lack the fundamental to monitor the weld pool oscillation accurately. In this paper, an improved laser vision based measurement system is proposed to capture the reflected laser lines to accurately monitor its oscillation. In this novel system for surface oscillation monitoring, a low-power laser pattern, five lines, is projected onto the specular weld pool surface and the reflection is intercepted by a high speed camera. By observing and analyzing the change of the reflected laser lines, it is found that the change of laser lines is periodic and has a strong relation with the pool oscillation. An image processing algorithm has also been proposed for extracting the oscillation frequency from the image sequence. Experiments verified that the proposed method can successfully measure the weld pool oscillation. Moreover, the oscillation modes with varying weld penetration during stationary and travelling welding process have been investigated and it is found that the oscillation mode is different under different welding process and weld penetration. Practically, during travelling welding process, the weld pool is oscillated from up to down. The oscillation frequency of partial penetration is higher than the complete joint penetration, along with an abrupt transition. The proposed sensing method thus established the foundation for a novel method to monitor and control the weld penetration in real-time for intelligent welding robots which may possess partial human intelligence to not only automate the welding process but also to intelligentize the automatic robotic welding process.
机译:焊接接头熔深的控制是将自动机器人焊接智能化到与熟练的焊工相当的水平的基本问题。已经发现焊池的振荡与焊缝熔深紧密相关,但是基于电弧电压或电弧长度的波动的现有技术缺乏准确地监测焊池振荡的基础。在本文中,提出了一种改进的基于激光视觉的测量系统来捕获反射的激光线,以准确地监视其振荡。在这种用于表面振动监测的新颖系统中,一条低功率的激光图案(五条线)被投射到镜面焊池表面上,并且反射被高速摄像机拦截。通过观察和分析反射激光线的变化,发现激光线的变化是周期性的,并且与池振荡有很强的关系。还提出了一种图像处理算法,用于从图像序列中提取振荡频率。实验证明,该方法可以成功地测量熔池振荡。此外,研究了在固定和行进焊接过程中焊缝熔深变化的振荡模式,发现在不同的焊接工艺和焊缝熔深下,振荡模式是不同的。实际上,在行进焊接过程中,焊池从上到下摆动。部分穿透的振荡频率高于完整的接头穿透以及突然的转变。因此,所提出的感测方法为智能焊接机器人实时监测和控制焊缝熔深的新方法奠定了基础,该智能焊接机器人可能具有部分人的智能,不仅可以使焊接过程自动化,还可以使自动机器人焊接过程智能化。

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