The 3D narrow butt weld seam detection system based on the binocular consistency correction

Xingguo Wang (), Tianyun Chen (), Yiming Wang (), Dongliang Zheng (), Xiaoyu Chen () and Zhuang Zhao ()
Additional contact information
Xingguo Wang: Nanjing University of Science and Technology
Tianyun Chen: Nanjing University of Science and Technology
Yiming Wang: Nanjing University of Science and Technology
Dongliang Zheng: Nanjing University of Science and Technology
Xiaoyu Chen: Nanjing University of Science and Technology
Zhuang Zhao: Nanjing University of Science and Technology

Journal of Intelligent Manufacturing, 2023, vol. 34, issue 5, No 14, 2332 pages

Abstract: Abstract Detecting narrow butt weld seam with high precision has become an urgent problem with the wide application of laser welding technology. Many previous methods use line laser to locate the welds. However, these methods can only get a single position of the weld seam in each shooting and the detection scope is limited to the laser projection area, leading to low detection efficiency. To extract the narrow butt welds more efficiently, this paper combines the passive methods with the active methods, and proposes a 3D narrow butt weld seam detection system based on the binocular consistency analysis. Specifically, the active light method of fringe projection profilometry is adopted to capture the 3D information of the weldment. The weld seam extraction network based on binocular spatial information mining (BSMNet) is designed to analyze the corresponding passive light data and locate the weld seam position. Besides, a data annotation method based on binocular consistency correction is proposed to achieve more accurate data annotation for the BSMNet training. The experimental results show the max error of the detection is about 0.081mm, and the mean error is about 0.021mm.

Keywords: Structure light; Seam detection; Butt joint; Laser welding; Feature extraction (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10845-022-01927-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joinma:v:34:y:2023:i:5:d:10.1007_s10845-022-01927-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10845

DOI: 10.1007/s10845-022-01927-y

Access Statistics for this article

Journal of Intelligent Manufacturing is currently edited by Andrew Kusiak

More articles in Journal of Intelligent Manufacturing from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().