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On the application of in-situ monitoring systems and machine learning algorithms for develo** quality assurance platforms in laser powder bed fusion: A review
Laser powder bed fusion (LPBF) is one class of metal additive manufacturing (AM) used to
fabricate high-quality complex-shape components. This technology has significantly …
fabricate high-quality complex-shape components. This technology has significantly …
State-of-the-art review of machine learning applications in additive manufacturing; from design to manufacturing and property control
In this review, some of the latest applicable methods of machine learning (ML) in additive
manufacturing (AM) have been presented and the classification of the most common ML …
manufacturing (AM) have been presented and the classification of the most common ML …
[HTML][HTML] Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography …
Harnessing the full potential of the metal-based Laser Powder Bed Fusion process (LPBF)
relies heavily on how effectively the overall reliability and stability of the manufactured part …
relies heavily on how effectively the overall reliability and stability of the manufactured part …
A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting
Selective laser melting (SLM) is an emerging and popular metal additive manufacturing
(AM) technique to fabricate advanced metal components with complex geometries …
(AM) technique to fabricate advanced metal components with complex geometries …
[HTML][HTML] A novel machine learning-based approach for in-situ surface roughness prediction in laser powder-bed fusion
Controlling and optimizing surface roughness remain a significant challenge in laser powder
bed fusion (LPBF). Surface roughness affects printed part quality, particularly fatigue life …
bed fusion (LPBF). Surface roughness affects printed part quality, particularly fatigue life …
DLAM: Deep learning based real-time porosity prediction for additive manufacturing using thermal images of the melt pool
This paper presents an investigation of the rapid variations in the temperature of metal melt
pool for Additive Manufacturing (AM) processes. The melt pool is created by scanning a high …
pool for Additive Manufacturing (AM) processes. The melt pool is created by scanning a high …
Computer vision-aided bioprinting for bone research
C Liu, L Wang, W Lu, J Liu, C Yang, C Fan, Q Li… - Bone Research, 2022 - nature.com
Bioprinting is an emerging additive manufacturing technology that has enormous potential in
bone implantation and repair. The insufficient accuracy of the shape of bioprinted parts is a …
bone implantation and repair. The insufficient accuracy of the shape of bioprinted parts is a …
[HTML][HTML] Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring
This study presents a self-supervised Bayesian Neural Network (BNN) framework using air-
borne Acoustic Emission (AE) to identify different Laser Powder Bed Fusion (LPBF) process …
borne Acoustic Emission (AE) to identify different Laser Powder Bed Fusion (LPBF) process …
A review on in-situ process sensing and monitoring systems for fusion-based additive manufacturing
T Özel - International Journal of Mechatronics and …, 2023 - inderscienceonline.com
In additive manufacturing (AM), parts suffer from quality variations, defects, intricate surface
topography, and anisotropy in properties that are known to be influenced by factors …
topography, and anisotropy in properties that are known to be influenced by factors …
Multi-source information fusion for enhanced in-process quality monitoring of laser powder bed fusion additive manufacturing
T Shen, B Li, J Zhang, F Xuan - Additive Manufacturing, 2024 - Elsevier
Defects such as lack of fusion, porosity, and keyhole generated during the laser powder bed
fusion (L-PBF) additive manufacturing process pose a challenge, with the absence of …
fusion (L-PBF) additive manufacturing process pose a challenge, with the absence of …