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 …

Simulation and experiment for dynamics of laser welding keyhole and molten pool at different penetration status

Y Feng, X Gao, Y Zhang, C Peng, X Gui, Y Sun… - … International Journal of …, 2021 - Springer
The penetration status profoundly influences the dynamic behaviors of keyhole and molten
pool during laser welding. This paper presents a three-dimensional numerical simulation …

XGBoost-based on-line prediction of seam tensile strength for Al-Li alloy in laser welding: Experiment study and modelling

Z Zhang, Y Huang, R Qin, W Ren, G Wen - Journal of Manufacturing …, 2021 - Elsevier
This paper studies the regression prediction of laser welding seam strength of aluminum-
lithium alloy used in the rocket storage tank by means of the optical spectrum and extreme …

Monitoring of 304 austenitic stainless-steel laser-MIG hybrid welding process based on EMD-SVM

X Gao, N Zhang, G Ye, G Liu, Y Zhang - Journal of Manufacturing …, 2022 - Elsevier
Real-time monitoring of laser-metal inert gas (MIG) hybrid welding plays a significant role in
modern automatic production. In this paper, an innovative prediction model is proposed for …

Prediction of weld back width based on top vision sensing during laser-MIG hybrid welding

G Ye, X Gao, Q Liu, J Wu, Y Zhang, PP Gao - Journal of Manufacturing …, 2022 - Elsevier
Online welding quality monitoring has gained increasing attention in modern automatic
production. This work proposed a prediction method of weld back width based on top vision …

Poka yoke meets deep learning: a proof of concept for an assembly line application

M Martinelli, M Lippi, R Gamberini - Applied Sciences, 2022 - mdpi.com
In this paper, we present the re-engineering process of an assembly line that features speed
reducers and multipliers for agricultural applications. The “as-is” line was highly inefficient …

Feature extraction of laser welding pool image and application in welding quality identification

Y Gao, P Zhong, X Tang, H Hu, P Xu - IEEE Access, 2021 - ieeexplore.ieee.org
Most of the existing laser welding quality identification methods are post-weld identification
or low-speed identification (Welding speed below 120 m/min). Efficiently online monitoring …

Research on weld seam feature extraction and defect identification technology

F Shang, D Cai, B Sun, Y Han, M Yang… - … Testing and Evaluation, 2024 - Taylor & Francis
The quality of weld seams is a core factor affecting the performance of welded components,
significantly impacting the safety and reliability of weldment structures. It holds considerable …

Monitoring of distance between laser beam and arc in laser-arc hybrid welding based on deep learning

Y Cai, C Li, H Chen, J Xiong - Optics & Laser Technology, 2024 - Elsevier
The laser beam to arc distance (D LA) in laser-arc hybrid welding will significantly affect the
heat source's thermal flow distribution and the weld joint qualities. Therefore, the …

Tailoring droplet transfer and molten pool flow during hybrid laser arc welding of nickel base alloy

Y Zhu, Y Cai, H Dong, M Wang - Optics & Laser Technology, 2022 - Elsevier
Hybrid laser arc welding 9% Ni steel with nickel base alloy C-276 was fabricated with
different leading modes and energy ratios. Weld seam characteristics, formation stability and …