Intelligent welding system technologies: State-of-the-art review and perspectives

B Wang, SJ Hu, L Sun, T Freiheit - Journal of Manufacturing Systems, 2020 - Elsevier
Welding systems are being transformed by the advent of modern information technologies
such as the internet of things, big data, artificial intelligence, cloud computing, and intelligent …

Application of sensing technology in intelligent robotic arc welding: A review

F Xu, Y Xu, H Zhang, S Chen - Journal of Manufacturing Processes, 2022 - Elsevier
As a traditional fusion welding method, arc welding occupies most of the total welding
production. However, the current industrial welding robots with the “teaching and playback” …

Weld image deep learning-based on-line defects detection using convolutional neural networks for Al alloy in robotic arc welding

Z Zhang, G Wen, S Chen - Journal of Manufacturing Processes, 2019 - Elsevier
Accurate on-line weld defects detection is still challenging for robotic welding manufacturing
due to the complexity of weld defects. This paper studied deep learning–based on-line …

Extraction and evaluation of melt pool, plume and spatter information for powder-bed fusion AM process monitoring

Y Zhang, GS Hong, D Ye, K Zhu, JYH Fuh - Materials & Design, 2018 - Elsevier
With the continuous development of additive manufacturing technique, the issue on built
quality has caught increasing attentions. To improve the quality of built parts, the process …

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

W Cai, JZ Wang, P Jiang, LC Cao, GY Mi… - Journal of Manufacturing …, 2020 - Elsevier
Laser welding has been widely utilized in various industries. Effective real-time monitoring
technologies are critical for improving welding efficiency and guaranteeing the quality of …

Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review

Q Guo, Z Yang, J Xu, Y Jiang, W Wang, Z Liu… - Robotics and Computer …, 2024 - Elsevier
Welding is a method of realizing material connections, and the development of modern
sensing technology is pushing this traditional process towards automation and intelligence …

Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control

Q Wang, W Jiao, YM Zhang - Journal of Manufacturing Systems, 2020 - Elsevier
This paper presents an innovative digital twin to monitor and control complex manufacturing
processes by integrating deep learning which offers strong feature extraction and analysis …

A novel system for off-line 3D seam extraction and path planning based on point cloud segmentation for arc welding robot

L Yang, Y Liu, J Peng, Z Liang - Robotics and Computer-Integrated …, 2020 - Elsevier
Due to ever increasing precision and automation demands in robotic welding, the automatic
and robust 3D seam extraction has become a research hot-spot of the welding robots. At …

A novel seam extraction and path planning method for robotic welding of medium-thickness plate structural parts based on 3D vision

Y Geng, M Lai, X Tian, X Xu, Y Jiang… - Robotics and Computer …, 2023 - Elsevier
Currently, the robotic welding of medium-thickness plate structural parts has become a
common welding application. With the rapid development of automation technology and …

In situ detection of welding defects: A review

AS Madhvacharyula, AVS Pavan, S Gorthi, S Chitral… - Welding in the …, 2022 - Springer
Weld defect detection is a crucial aspect for improving the productivity and quality of the
welding process. Several non-destructive methods exist for the identification of defects post …