Advances in Manufacturing ›› 2025, Vol. 13 ›› Issue (2): 337-361.doi: 10.1007/s40436-024-00493-1
Yi-Wei Huang, Xiang-Dong Gao, Perry P. Gao, Bo Ma, Yan-Xi Zhang
收稿日期:2023-05-14
修回日期:2023-10-11
发布日期:2025-05-16
通讯作者:
Xiang-Dong Gao,E-mail:gaoxd@gdut.edu.cn
E-mail:gaoxd@gdut.edu.cn
作者简介:Yi-Wei Huang is now studying for a master’s degree of the Guangdong Provincial Welding Engineer ing Technology Research Center, Guangdong University of Technology, Guangzhou, China. He received his B.S. degree in Mechanical Engineering from the Jiangxi University of Technology. His research interests include the monitoring and adaptive control of the laser welding process.基金资助:Yi-Wei Huang, Xiang-Dong Gao, Perry P. Gao, Bo Ma, Yan-Xi Zhang
Received:2023-05-14
Revised:2023-10-11
Published:2025-05-16
Contact:
Xiang-Dong Gao,E-mail:gaoxd@gdut.edu.cn
E-mail:gaoxd@gdut.edu.cn
Supported by:摘要： Laser welding is an efficient and precise joining method widely used in various industries. Real-time monitoring of the welding process is important for improving the quality of the weld products. This study provides an overview of the optical diagnostics of the laser welding process. The common welding defects and their formation mechanisms are described, starting with an introduction to the principles of laser welding. Optical signal sources are divided into radiated and external active lights, and different monitoring systems are summarized and classified. Also, the applications of artificial intelligence techniques in data processing, weld defect prediction and classification, and adaptive welding control are summarized. Finally, future research and challenges in real-time laser welding monitoring technology based on optical diagnostics are discussed. This study demonstrated that optical diagnostic techniques could acquire substantial information about the laser welding process and help identify welding defects.
The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-024-00493-1
Yi-Wei Huang, Xiang-Dong Gao, Perry P. Gao, Bo Ma, Yan-Xi Zhang. Laser welding monitoring techniques based on optical diagnosis and artificial intelligence: a review[J]. Advances in Manufacturing, 2025, 13(2): 337-361.
Yi-Wei Huang, Xiang-Dong Gao, Perry P. Gao, Bo Ma, Yan-Xi Zhang. Laser welding monitoring techniques based on optical diagnosis and artificial intelligence: a review[J]. Advances in Manufacturing, 2025, 13(2): 337-361.
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