A leading error compensation method for weld seam tracking based on dual-sensing and dual-wavelength

Purpose Leading error in line laser weld seam tracking significantly affects tracking accuracy. This paper aims to propose an accurate and reliable compensation method without increasing system complexity for weld seam tracking to improve tracking precision. Design/methodology/approach Based on the line laser seam tracking method, the seam image is simultaneously captured to obtain the angle offset of the seam relative to the sensor direction, which is then combined with the leading distance to calculate the leading error. The two sensing methods use different wavelengths and are captured simultaneously by a color industrial camera. The images of the two different wavelengths can be separated by extracting the RGB components, and the compensated tracking results are obtained after image processing. Findings The results of static positioning experiment indicate that the average absolute error in weld seam positioning is reduced to 0.099 mm after compensation. The real-time tracking experiments demonstrate that the proposed method preserves tracking accuracy even with changes in the sensor’s angle of deviation during welding, with the average absolute error being 0.248 mm. This method effectively enhances the precision of line laser weld seam tracking when the sensor exhibits a deviation relative to the welding direction. Originality/value By using the dual-sensing and dual-wavelength method for leading error compensation, the method effectively addresses the leading error issue while maintaining the advantages of the line laser seam tracking method.

Authors

Institutions

Publication Details

Journal
Sensor Review
Published
2025-02-04
DOI
https://doi.org/10.1108/sr-11-2024-0956
Citations
3
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
2.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A leading error compensation method for weld seam tracking based on dual-sensing and dual-wavelength

Qiang Liu, Huijun Zhao, Zhenzhi Xu, Na Lv
3 citations
Sensor Review
Welding Techniques and Residual Stresses
2.14
article

A leading error compensation method for weld seam tracking based on dual-sensing and dual-wavelength

Qiang Liu, Huijun Zhao, Zhenzhi Xu, Na Lv
article en
3 citations

Abstract

Purpose Leading error in line laser weld seam tracking significantly affects tracking accuracy. This paper aims to propose an accurate and reliable compensation method without increasing system complexity for weld seam tracking to improve tracking precision. Design/methodology/approach Based on the line laser seam tracking method, the seam image is simultaneously captured to obtain the angle offset of the seam relative to the sensor direction, which is then combined with the leading distance to calculate the leading error. The two sensing methods use different wavelengths and are captured simultaneously by a color industrial camera. The images of the two different wavelengths can be separated by extracting the RGB components, and the compensated tracking results are obtained after image processing. Findings The results of static positioning experiment indicate that the average absolute error in weld seam positioning is reduced to 0.099 mm after compensation. The real-time tracking experiments demonstrate that the proposed method preserves tracking accuracy even with changes in the sensor’s angle of deviation during welding, with the average absolute error being 0.248 mm. This method effectively enhances the precision of line laser weld seam tracking when the sensor exhibits a deviation relative to the welding direction. Originality/value By using the dual-sensing and dual-wavelength method for leading error compensation, the method effectively addresses the leading error issue while maintaining the advantages of the line laser seam tracking method.

Sensor ReviewVol. 45(3)
Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 16%
Welding Techniques and Residual Stresses
2.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A leading error compensation method for weld seam tracking based on dual-sensing and dual-wavelength — Qiang Liu, Huijun Zhao, et al. · Sensor Review (2025) | TGRS Research Map | TGRS