Monitoring of Varying Joint Gap Width During Laser Beam Welding by a Dual Vision and Spectroscopic Sensing System

Morgan Nilsen , Fredrik Sikström , Anna-Karin Christiansson , Antonio Ancona
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引用次数: 7

Abstract

A vision and spectroscopic system for estimation of the joint gap width in autogenous laser beam butt welding is presented. Variations in joint gap width can introduce imperfections in the butt joint seam, which in turn influence fatigue life and structural integrity. The aim of the monitoring approach explored here is to acquire sufficiently robust process data to be used to guide post inspection activities and/or to enable feedback control for a decreased process variability. The dual-sensing approach includes a calibrated CMOS camera and a miniature spectrometer integrated with a laser beam tool. The camera system includes LED illumination and matching optical filters and captures images of the area in front of the melt pool in order to estimate the joint gap width from the information in the image. The intensity of different spectral lines acquired by the spectrometer has been investigated and the correlation between the intensity of representative lines and the joint gap width has been studied. Welding experiments have been conducted using a 6 kW fiber laser. Results from both systems are promising, the camera system is able to give good estimations of the joint gap width, and good correlations between the signal from the spectrometer and the joint gap width have been found. However, developments of the camera setup and vision algorithm can further improve the joint gap estimations and more experimental work is needed in order to evaluate the robustness of the systems.

激光焊接过程中接头间隙宽度变化的双视觉和光谱传感系统监测
提出了一种用于自激光束对接焊接接头间隙宽度估计的视觉光谱系统。接头间隙宽度的变化会在对接缝中引入缺陷,进而影响疲劳寿命和结构完整性。这里探讨的监控方法的目的是获得足够可靠的过程数据,用于指导后期检查活动和/或对减少的过程可变性进行反馈控制。双传感方法包括一个校准的CMOS相机和一个集成了激光束工具的微型光谱仪。该摄像系统包括LED照明和匹配的光学滤光片,并捕获熔池前方区域的图像,以便从图像中的信息估计接合间隙宽度。研究了不同谱线的强度,并研究了代表性谱线强度与接头间隙宽度的相关性。利用6kw光纤激光器进行了焊接实验。两种系统的结果都很有希望,相机系统能够很好地估计节理间隙宽度,并且发现了光谱仪信号与节理间隙宽度之间的良好相关性。然而,摄像机设置和视觉算法的发展可以进一步改善关节间隙估计,并且需要更多的实验工作来评估系统的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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