Wire and arc additive manufacturing of metal components: a review of recent research developments

J Liu, Y Xu, Y Ge, Z Hou, S Chen - The International Journal of Advanced …, 2020 - Springer
Wire arc additive manufacturing (WAAM) is an important metal 3D printing method, which
has many advantages, such as rapid deposition rate, low cost, and suitability for large …

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 …

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 …

Evaluation of soil liquefaction using AI technology incorporating a coupled ENN/t-SNE model

PGA Njock, SL Shen, A Zhou, HM Lyu - Soil Dynamics and earthquake …, 2020 - Elsevier
This paper presents a new evolutionary neural network (ENN) algorithm coupled with the
dimensionality reduction technique 't-distributed stochastic neighbour embedding'(t-SNE) …

Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling

D Wu, P Zhang, Z Yu, Y Gao, H Zhang, H Chen… - Journal of Manufacturing …, 2022 - Elsevier
Laser beam welding manufacturing (LBW), being a promising joining technology with
superior capabilities of high-precision, good-flexibility and deep penetration, has attracted …

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 …

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 …

A novel surface temperature sensor and random forest-based welding quality prediction model

S Wang, Y Cui, Y Song, C Ding, W Ding… - Journal of Intelligent …, 2024 - Springer
Temperature variation directly affects the melting and solidification process of welding and
has a significant impact on weld quality and mechanical properties. Accurately acquiring …

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 …