Quantitative evaluation of spatter in adjustable ring mode laser welding based on In-situ OCT measurement

被引：0
|
作者：
Huang, Hongxing [1 ,2 ]
Wu, Di [1 ,2 ]
Zeng, Da [1 ,2 ]
Peng, Biao [3 ]
Sun, Tao [4 ]
Zhang, Peilei [1 ,2 ]
Shi, Haichuan [1 ,2 ]
机构：
[1] School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai,201620, China
[2] Shanghai Collaborative Innovation Center of Laser Advanced Manufacturing Technology, Shanghai,201620, China
[3] Taier Intelligence (Shanghai) Laser Technology Co., Ltd., Shanghai,201100, China
[4] Key & Core Technology Innovation Institute of the Greater Bay Area, Guangzhou,510535, China
来源：
Hanjie Xuebao/Transactions of the China Welding Institution | 2024年 / 45卷 / 11期
关键词：
D O I：
10.12073/j.hjxb.20240715002
中图分类号：
学科分类号：
摘要：
In order to quickly and accurately quantitatively evaluate the metal spatter to optimize the process and ensure the welding quality. This study focuses on the variable beam profile (VBP) laser welding process of 1060 aluminum alloy and develops an insitu keyhole depth measurement system based on optical coherence tomography (OCT). An innovative 1DCNN-BiLSTM deep learning composite model is proposed, leveraging the distinct characteristics of the two network units to perform local-global temporal feature extraction, achieving quantitative evaluation of spatter status. Results indicate that the constructed model achieves 99.69% accuracy in identifying spatter status, providing guidance and closed-loop feedback for optimizing the VBP laser welding process and quality control. © 2024 Harbin Research Institute of Welding. All rights reserved.
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页码：128 / 132
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