Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

<Previous Article In Volume
Next Article In Volume>

Comprehensive analysis of the progress and application for defect detection technology in welding process

Authors
Yijia Gu1, *
1No.120 Secondary School, Shenyang City, Liaoning Province, 124000, China
*Corresponding author. Email: 1911511227@mail.sit.edu.cn
Corresponding Author
Yijia Gu
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_12How to use a DOI?
Keywords
welding defects; causes of defect; defect detection
Abstract

Welding defect detection is one of the research hotspots in the field of welding. Some researchers have found that in many welding processes, due to some uncontrollable factors, the weld will have different degrees of defects. These defects often cause great harm to production and life. This makes the welding defect detection technology become one of the current research hotspots. However, the defect detection technology based on heterogeneous sensors applied in welding field still faces certain challenges and limitations in many practical application scenarios. Therefore, the research progress of welding defect detection is deeply analyzed in this paper. Firstly, this paper summarizes the research background and significance of welding technology and welding quality inspection. Secondly, the causes of weld defects and corresponding hazards are analyzed from many aspects. Then, combined with the recent literature, the defect detection technology in welding process is reviewed. Finally, the research status of welding defect detection technology is summarized, and its future development prospect is prospected.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
978-94-6463-370-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_12How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yijia Gu
PY  - 2024
DA  - 2024/02/14
TI  - Comprehensive analysis of the progress and application for defect detection technology in welding process
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 104
EP  - 110
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_12
DO  - 10.2991/978-94-6463-370-2_12
ID  - Gu2024
ER  -