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基于视觉的不锈钢焊管在线TIG焊接偏差检测算法

Vision-based algorithm for online TIG welding deviation detection of stainless steel welded pipes.

作者信息

Hou Huaishu, Wang Tong, Li Jinhao, Zhang Yong, Tang Chenhuai

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2024 Jun 1;41(6):1175-1184. doi: 10.1364/JOSAA.509496.

DOI:10.1364/JOSAA.509496
PMID:38856433
Abstract

Tungsten inert gas (TIG) welding is the main welding process in the production of stainless steel welded pipe. According to the morphological characteristics of the welding molten pool image during the TIG welding process of stainless steel welded pipes, the exact position of the tungsten needle tip is calculated using image moments. Extract the weld region in the contour of the molten pool, interpolate the contour curve based on the cubic B-spline curve interpolation method, utilize the characteristics of the S-G filter, remove the interference coordinates in the contour curve through the detrending of the contour curve, extract the weld feature points, and realize the accurate identification of weld seams. The experimental results show that the method can accurately calculate the welding deviation in the welding process.

摘要

钨极惰性气体保护焊(TIG)是不锈钢焊管生产中的主要焊接工艺。根据不锈钢焊管TIG焊接过程中焊接熔池图像的形态特征,利用图像矩计算钨极尖端的精确位置。在熔池轮廓中提取焊缝区域,基于三次B样条曲线插值方法对轮廓曲线进行插值,利用S-G滤波器的特性,通过轮廓曲线的去趋势化去除轮廓曲线中的干扰坐标,提取焊缝特征点,实现焊缝的精确识别。实验结果表明,该方法能够准确计算焊接过程中的焊接偏差。

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