Intelligent welding system technologies: State-of-the-art review and perspectives

B Wang, SJ Hu, L Sun, T Freiheit - Journal of Manufacturing Systems, 2020 - Elsevier
Welding systems are being transformed by the advent of modern information technologies
such as the internet of things, big data, artificial intelligence, cloud computing, and intelligent …

Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review

Q Guo, Z Yang, J Xu, Y Jiang, W Wang, Z Liu… - Robotics and Computer …, 2024 - Elsevier
Welding is a method of realizing material connections, and the development of modern
sensing technology is pushing this traditional process towards automation and intelligence …

Deep learning-empowered digital twin for visualized weld joint growth monitoring and penetration control

Q Wang, W Jiao, YM Zhang - Journal of Manufacturing Systems, 2020 - Elsevier
This paper presents an innovative digital twin to monitor and control complex manufacturing
processes by integrating deep learning which offers strong feature extraction and analysis …

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 …

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 …

[HTML][HTML] Burn-through prediction and weld depth estimation by deep learning model monitoring the molten pool in gas metal arc welding with gap fluctuation

K Nomura, K Fukushima, T Matsumura… - Journal of Manufacturing …, 2021 - Elsevier
In a single bevel GMAW (gas metal arc welding) with gap fluctuation, a deep learning model
was constructed using the monitoring image during the welding to predict the welding …

DeepWelding: A deep learning enhanced approach to GTAW using multisource sensing images

Y Feng, Z Chen, D Wang, J Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Deep learning has great potential to reshape manufacturing industries. In this article, we
present DeepWelding, a novel framework that applies deep learning techniques to improve …

Recognition of penetration states based on arc sound of interest using VGG-SE network during pulsed GTAW process

Z Zhao, N Lv, R Xiao, Q Liu, S Chen - Journal of Manufacturing Processes, 2023 - Elsevier
Real-time welding monitoring is of great importance for intelligent welding, and the
recognition of penetration states based on acoustic signal has been a hot topic. However …

In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding

D Baek, HS Moon, SH Park - Journal of Intelligent Manufacturing, 2024 - Springer
Even though arc welding is widely utilized to join metallic parts with high reliability, the
prediction and control of welding quality is challenging owing to difficulties in the prediction …

Prediction of angular distortion due GMAW process of thin-sheets Hardox 450® steel by numerical model and artificial neural network

C Rubio-Ramirez, DF Giarollo, JE Mazzaferro… - Journal of Manufacturing …, 2021 - Elsevier
Angular distortions in high-strength steel, Hardox 450®, welded by gas metal arc welding
(GMAW) single-pass butt welding process were analyzed in this work on different sizes and …