Predicting characteristics of dissimilar laser welded polymeric joints using a multi-layer perceptrons model coupled with archimedes optimizer

EB Moustafa, A Elsheikh - Polymers, 2023 - mdpi.com
This study investigates the application of a coupled multi-layer perceptrons (MLP) model
with Archimedes optimizer (AO) to predict characteristics of dissimilar lap joints made of …

Prediction of welding quality characteristics during pulsed GTAW process of aluminum alloy by multisensory fusion and hybrid network model

C Chen, R **ao, H Chen, N Lv, S Chen - Journal of Manufacturing …, 2021 - Elsevier
To implement predicting and controlling of welding quality are significant during pulsed gas
tungsten arc welding (GTAW) process. In this paper, a multi-sensor system has been …

OCT monitoring data processing method of laser deep penetration welding based on HDBSCAN

G He, X Gao, L Li, P Gao - Optics & Laser Technology, 2024 - Elsevier
To address the challenge of low accuracy in the measurement of laser deep penetration
welding depth, this study introduces optical coherence tomography (OCT) technology for the …

Influence mechanism of the keyhole behavior on penetration depth by in-situ monitoring in pulsed laser welding of aluminum alloy

X Wen, D Wu, P Zhang, S Liu, Z Luo, Z Jia, X Ye, H Shi… - Optik, 2021 - Elsevier
The dynamic behavior of keyhole plays a critical role in determining the weld penetration
and process stability during pulsed laser welding of thin-sheet aluminum alloy. This study …

Defects detection of GMAW process based on convolutional neural network algorithm

H Li, Y Ma, M Duan, X Wang, T Che - Scientific Reports, 2023 - nature.com
It is significant to predict welding quality during gas metal arc welding process. The welding
defect detection algorithm has been developed based on convolutional neural network …

Laser Welding Penetration Monitoring Based on Time-Frequency Characterization of Acoustic Emission and CNN-LSTM Hybrid Network

Z Luo, D Wu, P Zhang, X Ye, H Shi, X Cai, Y Tian - Materials, 2023 - mdpi.com
In-process penetration monitoring of the pulsed laser welding process remains a great
challenge for achieving uniform and reproducible products due to the highly complex nature …

[HTML][HTML] Prediction of variable-groove weld penetration using texture features of infrared thermal images and machine learning methods

R Yu, S Guo, Y Huang, H Dai, S Qiu, Y Peng… - Journal of Materials …, 2023 - Elsevier
When workpieces with varying grooves are welded, changes in the groove angle of the base
metal can affect the butt weld penetration, thus affecting the final weld forming quality …

[HTML][HTML] Interpreting acoustic emissions to determine the weld depth during laser beam welding

L Tomcic, A Ederer, S Grabmann, M Kick… - Journal of Laser …, 2022 - pubs.aip.org
The interpretation of sensor system data is critical for monitoring industrial welding
processes and providing reliable information about the condition of the weld seam. Previous …

Acoustic signal-based automated control of welding penetration using digital twin technology

J Tao, NM Nor, ABB Abdullah - Mechanical Systems and Signal Processing, 2024 - Elsevier
Weld penetration control has emerged as a critical area of research in the field of online
control for ensuring the quality of robotic welds. Acoustic signals, which are known for their …

Microstructure formation in 6061 aluminum alloy during nano-second pulsed laser processing

D Zhemchuzhnikova, J Zollinger - Journal of Materials Processing …, 2023 - Elsevier
Pulsed lasers are a very promising branch of laser material processing in terms of high
productivity and quality of the resulting welds. However, laser welding of Al-based alloys is …