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In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review
Abstract Laser Additive Manufacturing (LAM) presents unparalleled opportunities for
fabricating complex, high-performance structures and components with unique material …
fabricating complex, high-performance structures and components with unique material …
A Review of In Situ Defect Detection and Monitoring Technologies in Selective Laser Melting
X Peng, L Kong, H An, G Dong - 3D printing and additive …, 2023 - liebertpub.com
The additive manufacturing (AM) technique has received considerable industrial attention,
as it is capable of producing complex functional parts in the aerospace and defense …
as it is capable of producing complex functional parts in the aerospace and defense …
Real-time identification of molten pool and keyhole using a deep learning-based semantic segmentation approach in penetration status monitoring
Due to the complexity and diversity of disturbances in the monitoring signals, it is still a
challenge to accurately real-time monitor penetration statues in laser welding …
challenge to accurately real-time monitor penetration statues in laser welding …
Online defect detection method and system based on similarity of the temperature field in the melt pool
W Feng, Z Mao, Y Yang, H Ma, K Zhao, C Qi, C Hao… - Additive …, 2022 - Elsevier
Additive manufacturing (AM) is an important production trend. Meanwhile, the lack of an
online defect detection technology is a key problem that limits the further development of …
online defect detection technology is a key problem that limits the further development of …
Real-time laser keyhole welding penetration state monitoring based on adaptive fusion images using convolutional neural networks
In laser keyhole welding process, the penetration state is an important index to evaluate the
quality of weld seam. In this paper, an innovative deep learning-based monitoring system …
quality of weld seam. In this paper, an innovative deep learning-based monitoring system …
Two-stage fusion framework driven by domain knowledge for penetration prediction of laser welding
J Li, Y Zhang, Y Xu, C Chen - Optics & Laser Technology, 2024 - Elsevier
To solve the problem of industrial application difficulties caused by insufficient depth
exploration and poor interpretability of the pure data drive neural network. A two-stage …
exploration and poor interpretability of the pure data drive neural network. A two-stage …
[HTML][HTML] Welding Defect Monitoring Based on Multi-Scale Feature Fusion of Molten Pool Videos
C Shi, L Wang, C Zhu, T Han, X Zhang, D Wang… - Sensors, 2024 - mdpi.com
Real-time quality monitoring through molten pool images is a critical focus in researching
high-quality, intelligent automated welding. However, challenges such as the dynamic …
high-quality, intelligent automated welding. However, challenges such as the dynamic …
Prediction of Coefficient of Friction and Wear Rate of Stellite 6 Coatings Manufactured by LMD Using Machine Learning
RA Cázares-Vázquez, V Humarán-Sarmiento… - … Conference on Artificial …, 2023 - Springer
Abstract Laser Metal Deposition (LMD) is a Direct Energy Deposition (DED) technique,
which uses a laser source to melt the input material layer by layer, creating the desired …
which uses a laser source to melt the input material layer by layer, creating the desired …
A closed-loop intelligent adjustment of process parameters in precise and micro hot-embossing using an in-process optic detection
K Lu, J **e, R Wang, L Li, W Li, Y Jiang - Journal of Intelligent …, 2022 - Springer
In rapid hot-embossing of microarray products, sensors accuracy drifts, mechanical wears
and environmental changes produce the nonlinear relationship between micro-forming …
and environmental changes produce the nonlinear relationship between micro-forming …
Multi-sensor monitoring for in-situ defect detection and quality assurance in laser-directed energy deposition
L Chen - 2024 - dr.ntu.edu.sg
Additive manufacturing (AM), specifically laser-directed energy deposition (LDED), has
evolved rapidly as a pivotal technology in the realm of Industry 4.0, gaining significant …
evolved rapidly as a pivotal technology in the realm of Industry 4.0, gaining significant …