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 …

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 …

Magnetic sensor based on WGM hollow microbubble resonator filled with magnetic fluid

W Liu, W Li, R Wang, E Xing, N Jing, Y Zhou… - Optics …, 2021 - Elsevier
In this work, a magnetic sensing scheme based on whispering gallery mode (WGM) hollow
microbubble resonator (HMR) filled with magnetic fluid (MF) is proposed. The HMR is made …

A defect opening profile reconstruction method based on multidirectional magnetic flux leakage detection

S Li, L Bai, X Zhang, L Tian, J Zhang, Z Liu, C Chen - Measurement, 2024 - Elsevier
Magnetic flux leakage (MFL) is a popular technique for detecting defects. The opening
profile reconstruction is one of the most popular concerns. The commonly used …

NDT method for line laser welding based on deep learning and one-dimensional time-series data

Y Liu, K Yuan, T Li, S Li, Y Ren - Applied Sciences, 2022 - mdpi.com
Welding testing is particularly important in industrial systems, but there are still some
deficiencies in terms of testing performance, anti-noise capability and defect identification in …

[PDF][PDF] 焊接缺陷磁光成像卷积神经网络识别方法

季玉坤, 高向东, 刘倩雯, 张艳喜, 张南峰 - 仪器仪表学报, 2023 - jemi.cnjournals.com
对焊件表面及亚表面微小焊接缺陷进行检测是保证焊接质量的关键, 提出一种基于深层卷积神经
网络的磁光成像焊接缺陷检测方法. 以法拉第磁致旋光效应为基础, 分析磁光成像原理 …

Magnetic flux leakage defect size estimation method based on physics-informed neural network

Y Xiong, S Liu, L Hou, T Zhou - … Transactions of the …, 2024 - royalsocietypublishing.org
Magnetic flux leakage (MFL) is a magnetic method of non-destructive testing for in-pipe
defect detection and sizing. Despite the fact that recent developments in machine learning …

Plug Valve Surface Defects Identification through Nondestructive Testing and Fuzzy Deep‐Learning Algorithm for Metal Porosity and Surface Evaluation

V Jacintha, S Karthikeyan… - Journal of …, 2023 - Wiley Online Library
This paper addresses the detection and identification of flaws in Plug valves. The Plug valve
thermal image is acquired using a Fluke thermal camera [TiS20]. Thermal images of the …

Investigation of welding parameters effects on temperature field and structure field during laser-arc hybrid welding

X Gui, X Gao, Y Zhang, J Wu - Modern Physics Letters B, 2022 - World Scientific
Thermo-structural weak coupling model was adopted in numerical simulation of laser-arc
hybrid T-joint welding. Gauss surface heat source and Rotary-Gauss body heat source were …

Magneto-optical imaging detection and classification of weld defects under alternating/rotating magnetic field excitation

Y Li, X Gao, Q Gao, J Liu, Y Zhang, Y Zhu, W Wu… - Optics and Lasers in …, 2025 - Elsevier
Aiming at the difficult to detect arbitrary-angle weld defects, a magneto-optical (MO) imaging
non-destructive testing (NDT) system for weld defects excited by different magnetic fields is …