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” …

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 …

Defect detection in selective laser melting technology by acoustic signals with deep belief networks

D Ye, GS Hong, Y Zhang, K Zhu, JYH Fuh - The International Journal of …, 2018 - Springer
Selective laser melting (SLM) is one of the most important and successfully additive
manufacturing processes in 3D metal printing technologies. Critical quality issues such as …

Online monitoring and model-free adaptive control of weld penetration in VPPAW based on extreme learning machine

D Wu, H Chen, Y Huang, S Chen - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Monitoring and controlling of weld joint penetration are essential issues in variable polarity
plasma arc welding (VPPAW). In this paper, we develop a flexible visual sensor system to …

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 …

In situ monitoring and penetration prediction of plasma arc welding based on welder intelligence-enhanced deep random forest fusion

D Wu, M Hu, Y Huang, P Zhang, Z Yu - Journal of Manufacturing Processes, 2021 - Elsevier
Online process monitoring and quality control has been a long-standing challenge for
variable polarity plasma arc welding (VPPAW) due to the inherent instability and fluctuation …

Deep learning based monitoring of spatter behavior by the acoustic signal in selective laser melting

S Luo, X Ma, J Xu, M Li, L Cao - Sensors, 2021 - mdpi.com
As one of the most promising metal additive manufacturing (AM) technologies, the selective
laser melting (SLM) process has high expectations ofr its use in aerospace, medical, and …

Visual-acoustic penetration recognition in variable polarity plasma arc welding process using hybrid deep learning approach

D Wu, Y Huang, P Zhang, Z Yu, H Chen, S Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Accurate characterization of keyhole pool behavior is important to improve the penetration
recognition and quality detection during the variable polarity plasma arc welding (VPPAW) …

A teaching-free welding method based on laser visual sensing system in robotic GMAW

Z Hou, Y Xu, R Xiao, S Chen - The International Journal of Advanced …, 2020 - Springer
At present, the majority of welding robots belong to the teach-and-playback category in
welding manufacturing engineering applications; trajectory teaching in advance of welding …

Variable polarity plasma arc welding: process development and its recent developments of detecting, modeling, and controlling

F Jiang, W Li, B Xu, W Cheng, G Zhang, X Ma… - Journal of Manufacturing …, 2024 - Elsevier
Variable polarity plasma arc welding (VPPAW) is a highly efficient method for joining
aluminum and magnesium alloys, primarily because of the automatic removal of oxide …