Additive manufacturing of ultra-high strength steels: A review

K Li, T Yang, N Gong, J Wu, X Wu, DZ Zhang… - Journal of Alloys and …, 2023 - Elsevier
Ultra-high strength steels (UHSSs) have excellently comprehensive mechanical properties,
which has attracted significant interest in their advanced manufacturing. Additively …

In-situ measurement and monitoring methods for metal powder bed fusion: an updated review

M Grasso, A Remani, A Dickins… - Measurement …, 2021 - iopscience.iop.org
The possibility of using a variety of sensor signals acquired during metal powder bed fusion
processes, to support part and process qualification and for the early detection of anomalies …

On the application of in-situ monitoring systems and machine learning algorithms for developing quality assurance platforms in laser powder bed fusion: A review

K Taherkhani, O Ero, F Liravi, S Toorandaz… - Journal of Manufacturing …, 2023 - Elsevier
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 …

[HTML][HTML] Grain refinement in laser powder bed fusion: The influence of dynamic recrystallization and recovery

HE Sabzi, NT Aboulkhair, X Liang, XH Li, M Simonelli… - Materials & Design, 2020 - Elsevier
During laser powder bed fusion (LPBF) the powder bed undergoes several thermal cycles
incorporating complex thermo-mechanical processing. Different restoration mechanisms …

[HTML][HTML] Laser powder bed additive manufacturing: A review on the four drivers for an online control

F Lupi, A Pacini, M Lanzetta - Journal of Manufacturing Processes, 2023 - Elsevier
Abstract Online control of Additive Manufacturing (AM) processes appears to be the next
challenge in the transition toward Industry 4.0 (I4. 0). Although many efforts have been …

[HTML][HTML] Experimental analysis of powder layer quality as a function of feedstock and recoating strategies

TP Le, X Wang, KP Davidson, JE Fronda, M Seita - Additive manufacturing, 2021 - Elsevier
The quality and uniformity of the powder layer have a direct impact on the performance of
parts produced via powder bed fusion (PBF). Because powder layer properties depend on …

Semi-supervised machine learning of optical in-situ monitoring data for anomaly detection in laser powder bed fusion

NV Nguyen, AJW Hum, T Do, T Tran - Virtual and Physical …, 2023 - Taylor & Francis
Laser powder bed fusion (L-PBF) is one of the most widely used metal additive
manufacturing technology for fabrication of functional and structural components. However …

Automated layerwise detection of geometrical distortions in laser powder bed fusion

L Pagani, M Grasso, PJ Scott, BM Colosimo - Additive Manufacturing, 2020 - Elsevier
In-situ layerwise imaging in laser powder bed fusion (L-PBF) has been implemented by
many system developers to monitor the powder bed homogeneity. Increasing attention has …

Acoustic emission for in situ process monitoring of selective laser melting additive manufacturing based on machine learning and improved variational modal …

H Wang, B Li, FZ Xuan - The International Journal of Advanced …, 2022 - Springer
Selective laser melting (SLM) additive manufacturing overcomes the geometric limits of
complex components produced with traditional subtractive methods, which has significant …

Non-destructive testing of metal-based additively manufactured parts and processes: a review

J Rao, S Leong Sing, P Liu, J Wang… - Virtual and Physical …, 2023 - Taylor & Francis
Additive manufacturing (AM) has revolutionised the manufacturing world due to its unique
advantages, such as the ability to create complex geometries, work with dissimilar metallic …