Research and application of artificial intelligence techniques for wire arc additive manufacturing: a state-of-the-art review

F He, L Yuan, H Mu, M Ros, D Ding, Z Pan… - Robotics and Computer …, 2023 - Elsevier
Recent development in the Wire arc additive manufacturing (WAAM) provides a promising
alternative for fabricating high value-added medium to large metal components for many …

Research and prospect of welding monitoring technology based on machine vision

X Fan, X Gao, G Liu, N Ma, Y Zhang - The International Journal of …, 2021 - Springer
Welding monitoring technology based on machine vision has been widely researched in
academic and industry, especially in the background of Industry 4.0, in that it can contribute …

Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks

Y Ren, Z Hou, II Sirmatel, N Geroliminis - Transportation Research Part C …, 2020 - Elsevier
Most perimeter control methods in literature are the model-based schemes designing the
controller based on the available accurate macroscopic fundamental diagram (MFD) …

Advanced welding manufacturing: a brief analysis and review of challenges and solutions

YM Zhang, YP Yang, W Zhang… - Journal of …, 2020 - asmedigitalcollection.asme.org
Welding is a major manufacturing process that joins two or more pieces of materials together
through heating/mixing them followed by cooling/solidification. The goal of welding …

Coordinated monitoring and control method of deposited layer width and reinforcement in WAAM process

Y Wang, X Xu, Z Zhao, W Deng, J Han, L Bai… - Journal of Manufacturing …, 2021 - Elsevier
Wire arc additive manufacturing (WAAM) has been used extensively in metal manufacturing
and other fields because of its low cost and high efficiency. In the manufacturing process …

Active disturbance rejection control of layer width in wire arc additive manufacturing based on deep learning

Y Wang, J Lu, Z Zhao, W Deng, J Han, L Bai… - Journal of Manufacturing …, 2021 - Elsevier
In the process of wire arc additive manufacturing (WAAM), in order to improve the welding
quality, the width of deposited layer needs to be monitored, and a feedback control strategy …

Review on multi-information acquisition, defect prediction and quality control of aluminum alloy GTAW process

Y Xu, Q Liu, J Xu, R Xiao, S Chen - Journal of Manufacturing Processes, 2023 - Elsevier
The gas tungsten arc welding (GTAW) is a classic traditional welding method for aluminum
alloys. However, the strong reflection of the welding area illuminated by arc light and the …

Real-time porosity monitoring during laser welding of aluminum alloys based on keyhole 3D morphology characteristics

D Ma, P Jiang, L Shu, S Geng - Journal of Manufacturing Systems, 2022 - Elsevier
This research proposes a real-time porosity monitoring approach for aluminum (Al) alloys
laser welding based on keyhole 3D morphology characteristics, realizing the prediction of …

Data mining applications to fault diagnosis in power electronic systems: A systematic review

A Moradzadeh, B Mohammadi-Ivatloo… - … on Power Electronics, 2021 - ieeexplore.ieee.org
Early fault detection in power electronic systems (PESs) to maintain reliability is one of the
most important issues that has been significantly addressed in recent years. In this article …

A parallel strategy for predicting the quality of welded joints in automotive bodies based on machine learning

G Chen, B Sheng, R Luo, P Jia - Journal of Manufacturing Systems, 2022 - Elsevier
Due to the complexity of the resistance spot welding process, it is still a challenge to
accurately know the operating status of the welding robot under the current parameter …