Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature-Reference-Cited by-同舟云学术

Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature

Published:2020-10 Issue: Volume:57 Page:1-18
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Cai Wang,Wang JianZhuang,Jiang Ping,Cao LongChao,Mi GaoYang,Zhou Qi

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

HUST

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference282 articles.

1. Quality assessment in laser welding: a critical review;Stavridis;Int J Adv Manuf Technol,2017

2. Review of laser hybrid welding;Bagger;J Laser Appl,2005

3. “Light” industry: an overview of the impact of lasers on manufacturing;Sparkes,2018

4. Research on key influence factors of laser overlap welding of automobile body galvanized steel;Chen;Opt Laser Technol,2013

5. Prospects of laser welding technology in the automotive industry: a review;Hong;J Mater Process Technol,2017

Cited by 115 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Laser dressing process monitoring of superabrasive grinding wheel based on spectroscopy;Optics & Laser Technology;2025-02

2. Intelligent seam tracking in foils joining based on spatial–temporal deep learning from molten pool serial images;Robotics and Computer-Integrated Manufacturing;2025-02

3. Machine learning-based in-process monitoring for laser deep penetration welding: A survey;Engineering Applications of Artificial Intelligence;2024-11

4. Real-time tracking method for motion spatter in high-power laser welding of stainless steel plate based on a lightweight deep learning model;Expert Systems with Applications;2024-11

5. Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review;Robotics and Computer-Integrated Manufacturing;2024-10