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” …

Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review

G Mattera, L Nele, D Paolella - Journal of Intelligent Manufacturing, 2024 - Springer
Abstract Wire Arc Additive Manufacturing is a Direct Energy Deposition additive technology
that uses the principle of wire welding to deposit layers of material to create a finished …

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 …

An automatic welding defect location algorithm based on deep learning

L Yang, H Wang, B Huo, F Li, Y Liu - Ndt & E International, 2021 - Elsevier
Welding production has a pivotal role in the modern manufacturing industry. However,
welding defects are frequently generated during the complex welding production process …

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 …

Virtual reality human-robot collaborative welding: A case study of weaving gas tungsten arc welding

Q Wang, Y Cheng, W Jiao, MT Johnson… - Journal of Manufacturing …, 2019 - Elsevier
To combine the advantages of humans (adaptive intelligence) and robots (higher movement
accuracy and physical limitation), we propose a virtual reality human-robot collaborative …

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 …

Femtosecond laser drilling of film cooling holes: quantitative analysis and real-time monitoring

T Sun, Z Fan, X Sun, Y Ji, W Zhao, J Cui… - Journal of Manufacturing …, 2023 - Elsevier
The damage to opposite wall caused by excessive ablation will severely affect the
performance of the turbine blade in femtosecond laser drilling of film cooling holes. Real …

Feature extraction of welding seam image based on laser vision

X Lü, D Gu, Y Wang, Y Qu, C Qin… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
This paper addresses the feature extraction algorithm of the weld groove image for a
welding robot system. The purpose is to improve the speed and the precision of the weld …

Random forest-based real-time defect detection of Al alloy in robotic arc welding using optical spectrum

Z Zhang, Z Yang, W Ren, G Wen - Journal of Manufacturing Processes, 2019 - Elsevier
Aluminum alloy of arc welding is the main technology for the key components manufacturing
in aerospace, nuclear power, ship and so on. Real-time weld defects detection is still …