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 …

Laser assisted milling device: A review

CM Lee, DH Kim, JT Baek, EJ Kim - International Journal of Precision …, 2016 - Springer
Laser-Assisted milling is a type of thermally-assisted machining process in which a
workpiece is locally softened by a laser heat source before machining. This method is …

Weld appearance prediction with BP neural network improved by genetic algorithm during disk laser welding

Y Zhang, X Gao, S Katayama - Journal of Manufacturing Systems, 2015 - Elsevier
The appearance of welds is the external manifestation of welding quality. The morphology of
molten pools is significantly associated with the weld appearance, but the approach to …

A case study on a combination NDVI forecasting model based on the entropy weight method

S Huang, B Ming, Q Huang, G Leng, B Hou - Water Resources …, 2017 - Springer
It is critically meaningful to accurately predict NDVI (Normalized Difference Vegetation
Index), which helps guide regional ecological remediation and environmental …

In-situ monitoring system for weld geometry of laser welding based on multi-task convolutional neural network model

H Li, H Ren, Z Liu, F Huang, G Xia, Y Long - Measurement, 2022 - Elsevier
This paper presents a low-cost, robust, in-situ monitoring system for weld geometry that can
achieve multi-task prediction. First, the system uses a low-cost CCD camera to monitor the …

Closed-loop control of alternating dual-electron beams for molten pool regulation during in-situ additive manufacturing

Z Li, B Chang, K Wang, H Zhang, Z Liang… - Journal of Materials …, 2023 - Elsevier
In-situ additive manufacturing (AM) is well known for integrating of material synthesis and
near-shaping fabrication. However, the insufficient metallurgy has become a widespread …

Evaluation of machine learning for quality monitoring of laser welding using the example of the contacting of hairpin windings

A Mayr, B Lutz, M Weigelt, T Gläßel… - 2018 8th …, 2018 - ieeexplore.ieee.org
In a world of growing electrification, the demand for high-quality, well-optimized electric
motors continues to rise. The hairpin winding is one such optimization, improving the slot-fill …

Weld reinforcement analysis based on long-term prediction of molten pool image in additive manufacturing

Y Wang, C Zhang, J Lu, L Bai, Z Zhao, J Han - IEEE Access, 2020 - ieeexplore.ieee.org
Wire Arc Additive Manufacturing (WAAM) has developed rapidly in recent years and has
been widely used in industry. Cold Metal Transfer (CMT), a kind of Gas Metal Arc Welding …

Phenomenological model-based study on electron beam welding process, and input-output modeling using neural networks trained by back-propagation algorithm …

D Das, DK Pratihar, GG Roy, AR Pal - Applied Intelligence, 2018 - Springer
High power density welding technologies are widely used nowadays in various fields of
engineering. However, a computationally efficient and quick predictive tool to select the …

Prediction of welding residual stress and deformation in electro-gas welding using artificial neural network

F Liu, C Tao, Z Dong, K Jiang, S Zhou, Z Zhang… - Materials Today …, 2021 - Elsevier
Evaluating the welding residual stress and deformation in a reasonable and reliable way is
the perquisite of ensuring the quality of weldments. Therefore, in this paper, an artificial …