Surface Defect Recognition for Laser Welding of Magnesium Alloys Based on Active Semi-Supervised Learning

Kun Tang; Zhao Huang; Yongjian Zhu; Hang Zhang; Gang Zeng; Hongchao Xiao; Xiaojie Zhou; Weidong Tang; Mingjun Zhang; Cong Mao

doi:10.3788/CJL241344

Chinese Journal of Lasers, Volume. 52, Issue 8, 0802103(2025)

Surface Defect Recognition for Laser Welding of Magnesium Alloys Based on Active Semi-Supervised Learning

Kun Tang¹, Zhao Huang¹, Yongjian Zhu^2、*, Hang Zhang¹, Gang Zeng³, Hongchao Xiao⁴, Xiaojie Zhou¹, Weidong Tang¹, Mingjun Zhang¹, and Cong Mao¹

Author Affiliations

¹Hunan Provincial Key Laboratory of Intelligent Manufacturing Technology for High-Performance Mechanical Equipment, Changsha University of Science and Technology, Changsha 410114, Hunan , China

²College of Engineering Physics, Shenzhen Technology University, Shenzhen 518118, Guangdong , China

³Hunan Provincial Technology Innovation Center of Aerospace New Light Alloy Materials, Changsha 410205, Hunan , China

⁴Hunan Provincial Engineering Research Center of Wrought Magnesium Alloys and Surface Protection, Changsha 410205, Hunan , China

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References(27)

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Kun Tang, Zhao Huang, Yongjian Zhu, Hang Zhang, Gang Zeng, Hongchao Xiao, Xiaojie Zhou, Weidong Tang, Mingjun Zhang, Cong Mao. Surface Defect Recognition for Laser Welding of Magnesium Alloys Based on Active Semi-Supervised Learning[J]. Chinese Journal of Lasers, 2025, 52(8): 0802103

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Paper Information

Category: Laser Forming Manufacturing

Received: Nov. 12, 2024

Accepted: Dec. 27, 2024

Published Online: Mar. 19, 2025

The Author Email: Yongjian Zhu (zhuyongjian@sztu.edu.cn)

DOI:10.3788/CJL241344

CSTR:32183.14.CJL241344

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology