A vision-based seam tracking system for submerged arc welding

Zhiguo Yan; De Xu; Yuan Li; Min Tan

doi:10.1007/978-3-540-73374-4_42

A vision-based seam tracking system for submerged arc welding

Zhiguo Yan^*, De Xu, Yuan Li, Min Tan

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Welding seam tracking is a key issue to welding automation. In this paper, a seam tracking system based on laser structured light is presented. The paper discusses the structure of this system, and also explains the system's working principle especially the image processing algorithm. The outside-welding experiments of steel pipe show that this system is very robust to various welding noises and it can improve the welding efficiency greatly.

Original language	English
Title of host publication	Robotic Welding, Intelligence and Automation
Editors	Tzyh-Jong Tarn, Shan-Ben Chen, Changjiu Zhou
Pages	349-357
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-540-73374-4_42
Publication status	Published - 2007
Externally published	Yes

Publication series

Name	Lecture Notes in Control and Information Sciences
Volume	362
ISSN (Print)	0170-8643

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10.1007/978-3-540-73374-4_42

Cite this

Yan, Z., Xu, D., Li, Y., & Tan, M. (2007). A vision-based seam tracking system for submerged arc welding. In T.-J. Tarn, S.-B. Chen, & C. Zhou (Eds.), Robotic Welding, Intelligence and Automation (pp. 349-357). (Lecture Notes in Control and Information Sciences; Vol. 362). https://doi.org/10.1007/978-3-540-73374-4_42

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abstract = "Welding seam tracking is a key issue to welding automation. In this paper, a seam tracking system based on laser structured light is presented. The paper discusses the structure of this system, and also explains the system's working principle especially the image processing algorithm. The outside-welding experiments of steel pipe show that this system is very robust to various welding noises and it can improve the welding efficiency greatly.",

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A vision-based seam tracking system for submerged arc welding. / Yan, Zhiguo; Xu, De; Li, Yuan et al.
Robotic Welding, Intelligence and Automation. ed. / Tzyh-Jong Tarn; Shan-Ben Chen; Changjiu Zhou. 2007. p. 349-357 (Lecture Notes in Control and Information Sciences; Vol. 362).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yan, Zhiguo

AU - Xu, De

AU - Li, Yuan

AU - Tan, Min

PY - 2007

Y1 - 2007

N2 - Welding seam tracking is a key issue to welding automation. In this paper, a seam tracking system based on laser structured light is presented. The paper discusses the structure of this system, and also explains the system's working principle especially the image processing algorithm. The outside-welding experiments of steel pipe show that this system is very robust to various welding noises and it can improve the welding efficiency greatly.

AB - Welding seam tracking is a key issue to welding automation. In this paper, a seam tracking system based on laser structured light is presented. The paper discusses the structure of this system, and also explains the system's working principle especially the image processing algorithm. The outside-welding experiments of steel pipe show that this system is very robust to various welding noises and it can improve the welding efficiency greatly.

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DO - 10.1007/978-3-540-73374-4_42

M3 - Conference contribution

AN - SCOPUS:34548730805

SN - 3540733736

SN - 9783540733737

T3 - Lecture Notes in Control and Information Sciences

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BT - Robotic Welding, Intelligence and Automation

A2 - Tarn, Tzyh-Jong

A2 - Chen, Shan-Ben

A2 - Zhou, Changjiu

ER -

A vision-based seam tracking system for submerged arc welding

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