Real-time sensing of gas metal arc welding process–A literature review and analysis

Y Cheng, R Yu, Q Zhou, H Chen, W Yuan… - Journal of Manufacturing …, 2021 - Elsevier
Welding is a major manufacturing process that joins two or more pieces of materials together
through heating/mixing them, with or without pressure, as they cool and solidify. The goal of …

Deep learning based real-time and in-situ monitoring of weld penetration: Where we are and what are needed revolutionary solutions?

R Yu, Y Cao, H Chen, Q Ye, YM Zhang - Journal of Manufacturing …, 2023 - Elsevier
Abstract Welding Procedure Designed assures the desired weld penetration be produced
under nominal welding conditions. When conditions deviate from the nominal, penetration …

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 …

Deep learning-based welding image recognition: A comprehensive review

T Liu, P Zheng, J Bao - Journal of Manufacturing Systems, 2023 - Elsevier
The reliability and accuracy of welding image recognition (WIR) is critical, which can largely
improve domain experts' insight of the welding system. To ensure its performance, deep …

Real-time recognition of arc weld pool using image segmentation network

R Yu, J Kershaw, P Wang, Y Zhang - Journal of Manufacturing Processes, 2021 - Elsevier
This work aims at automatically tracking the weld pool boundary to monitor the process and
collect operation and process data for analysis and modeling of the operator. The strong arc …

Development of defect detection ai model for wire+ arc additive manufacturing using high dynamic range images

C Lee, G Seo, DB Kim, M Kim, JH Shin - Applied Sciences, 2021 - mdpi.com
Wire+ arc additive manufacturing (WAAM) utilizes a welding arc as a heat source and a
metal wire as a feedstock. In recent years, WAAM has attracted significant attention in the …

How to accurately monitor the weld penetration from dynamic weld pool serial images using CNN-LSTM deep learning model?

R Yu, J Kershaw, P Wang… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
This letter illustrates how a challenging problem be solved by assuring the adequacy of the
raw information and using an appropriate deep learning network to extract the relevant …

Twin-wire directed energy deposition-arc of Ti–48Al–2Cr–2Nb alloy: feasibility, microstructure, and tensile property investigation

W Zhou, C Shen, X Hua, Y Zhang, L Wang… - Materials Science and …, 2022 - Elsevier
Due to low density and good high temperature performance, titanium aluminide has been
continuously attractive for aerospace and automotive industries. In recent years, additive …

[HTML][HTML] Laser butt welding of thin stainless steel 316L sheets in asymmetric configurations: A numerical study

A Ebrahimi, MJM Hermans - Journal of Advanced Joining Processes, 2023 - Elsevier
Laser butt welding of thin metal sheets is a widely used fusion-based joining technique in
industrial manufacturing. A comprehensive understanding of the complex transport …

An attention-based bilinear feature extraction mechanism for fine-grained laser welding molten pool/keyhole defect recognition

T Liu, P Zheng, H Chen, L Zhang - Journal of Manufacturing Processes, 2023 - Elsevier
Vision-based molten pool/keyhole (MPK) defect recognition is essential for online
monitoring of laser welding quality. However, the visual differences corresponding to …