Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)

Extraction of Weld Pool Feature Based on Visual Sensing during High-power Fiber Laser Welding

Authors
Ziqin Chen, Xiangdong Gao, Qian Wen
Corresponding Author
Ziqin Chen
Available Online September 2012.
DOI
10.2991/emeit.2012.262How to use a DOI?
Keywords
High-power fiber laser welding, Visual sensing, Weld pool, Image processing.
Abstract

In the process of the high-power fiber laser welding, the weld pool feature is related to welding quality. Here, a near infrared image acquisition system was used to acquire the weld pool information. After acquiring the weld pool regional image, the methods such as filtering image denoising, image enhancement, morphological processing and image segmentation were applied to analyze the weld pool feature information. It offered a reliable visual information method for monitoring of welding quality.

Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
Series
Advances in Intelligent Systems Research
Publication Date
September 2012
ISBN
978-90-78677-60-4
ISSN
1951-6851
DOI
10.2991/emeit.2012.262How to use a DOI?
Copyright
© 2012, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ziqin Chen
AU  - Xiangdong Gao
AU  - Qian Wen
PY  - 2012/09
DA  - 2012/09
TI  - Extraction of Weld Pool Feature Based on Visual Sensing during High-power Fiber Laser Welding
BT  - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012)
PB  - Atlantis Press
SP  - 1193
EP  - 1196
SN  - 1951-6851
UR  - https://doi.org/10.2991/emeit.2012.262
DO  - 10.2991/emeit.2012.262
ID  - Chen2012/09
ER  -