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” …

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 …

A review of non-destructive testing (NDT) techniques for defect detection: application to fusion welding and future wire arc additive manufacturing processes

M Shaloo, M Schnall, T Klein, N Huber, B Reitinger - Materials, 2022 - mdpi.com
In Wire and Arc Additive Manufacturing (WAAM) and fusion welding, various defects such as
porosity, cracks, deformation and lack of fusion can occur during the fabrication process …

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 …

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 …

Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs

K Asif, L Zhang, S Derrible, JE Indacochea… - Journal of Intelligent …, 2022 - Springer
Weld evaluation processes are usually conducted in the post-weld stage. In this way, defects
are found after the weld is completed, often resulting in disposal of expensive material or …

Review on quality control methods in metal additive manufacturing

J Lee, HJ Park, S Chai, GR Kim, H Yong, SJ Bae… - Applied Sciences, 2021 - mdpi.com
Metal additive manufacturing (AM) has several similarities to conventional metal
manufacturing, such as welding and cladding. During the manufacturing process, both metal …

[HTML][HTML] Inference of highly time-resolved melt pool visual characteristics and spatially-dependent lack-of-fusion defects in laser powder bed fusion using acoustic and …

H Liu, C Gobert, K Ferguson, B Abranovic, H Chen… - Additive …, 2024 - Elsevier
With a growing demand for high-quality fabrication, the interest in real-time process and
defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers …

Recent progress of sensing and machine learning technologies for process monitoring and defects detection in wire arc additive manufacturing

Y Guo, Y Zhang, Z Pan, W Zhou - Journal of Manufacturing Processes, 2024 - Elsevier
Abstract Wire Arc Additive Manufacturing possesses advantages of high deposition rate and
low cost compared with other metal additive manufacturing processes. However, potential …

Toward an intelligent aluminum laser welded blanks (ALWBs) factory based on industry 4.0; a critical review and novel smart model

A Aminzadeh, JS Rivera, P Farhadipour… - Optics & Laser …, 2023 - Elsevier
The aim of this review paper is a comprehensive investigation of the laser welding and
forming process as two critical parts of smart manufacturing and welding intelligent systems …