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 …

Laser joining technology of polymer-metal hybrid structures-a review

Y Huang, X Gao, Y Zhang, B Ma - Journal of Manufacturing Processes, 2022 - Elsevier
Polymer-metal hybrid structures have excellent comprehensive properties and have been
widely used in aerospace, automotive industry, biomedicine, and other fields. There exists a …

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 …

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 …

A review of laser welding for aluminium and copper dissimilar metals

B Ma, X Gao, Y Huang, PP Gao, Y Zhang - Optics & Laser Technology, 2023 - Elsevier
Dissimilar metal composite structures have been used in a wide range of applications to
meet the requirements of lightness, corrosion resistance, electrical conductivity, and thermal …

A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO2 Welding

T Liu, J Bao, J Wang, Y Zhang - Sensors, 2018 - mdpi.com
At present, realizing high-quality automatic welding through online monitoring is a research
focus in engineering applications. In this paper, a CNN–LSTM algorithm is proposed, which …

Online monitoring of local defects in robotic laser additive manufacturing process based on a dynamic mapping strategy and multibranch fusion convolutional neural …

M Yin, S Zhuo, L Xie, L Chen, M Wang, G Liu - Journal of Manufacturing …, 2023 - Elsevier
Online monitoring is essential for laser additive manufacturing (AM) to improve in-process
quality control. Currently, accurate monitoring of local defects in the laser AM process …

Improved convolutional neural network for laser welding defect prediction

W Huang, X Gao, Y Huang, Y Zhang - International Journal of Precision …, 2023 - Springer
In order to predict the laser welding defects, a convolutional neural network prediction model
is established. The keyhole image and plume image collected by a high-speed camera are …

Prediction of weld widths for laser-MIG hybrid welding using informer model

PP Gao, X Gao, Y Huang - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
In recent years, the field of industrial automation production has witnessed a growing
interest in welding quality monitoring. Among the various factors influencing welding quality …

Research progress on characterization and regulation of forming quality in laser joining of metal and polymer, and development trends of lightweight automotive …

Z Zhou, X Gao, Y Zhang - Metals, 2022 - mdpi.com
Metal–polymer hybrid structures have been widely used in research into their lightweight
automotive applications, because of their excellent comprehensive properties. As an …