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

Author:

Hou Huaishu1,Wang Tong1ORCID,Li Jinhao1,Zhang Yong2,Tang Chenhuai3

Affiliation:

1. Shanghai Institute of Technology

2. Hainan Boiler Pressure Vessel and Special Equipment Inspection Institute

3. Shanghai Institute of Special Equipment Inspection and Technical

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.

Publisher

Optica Publishing Group

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