In-situ monitoring of sub-surface and internal defects in additive manufacturing: A review

Y AbouelNour, N Gupta - Materials & Design, 2022 - Elsevier
Abstract Additive Manufacturing (AM), or 3D printing, processes depend on a user-defined
set of optimized process parameters to create a component. Monitoring and control of AM …

Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing

T Herzog, M Brandt, A Trinchi, A Sola… - Journal of Intelligent …, 2024 - Springer
Over the past several decades, metal Additive Manufacturing (AM) has transitioned from a
rapid prototy** method to a viable manufacturing tool. AM technologies can produce parts …

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 develo** 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 …

A review of the multi-dimensional application of machine learning to improve the integrated intelligence of laser powder bed fusion

K Li, R Ma, Y Qin, N Gong, J Wu, P Wen, S Tan… - Journal of Materials …, 2023 - Elsevier
Laser powder bed fusion (LPBF) as one of the most promising additive manufacturing (AM)
technologies, has been widely used to produce metal parts and applied in fields such as …

[HTML][HTML] In-process and post-process strategies for part quality assessment in metal powder bed fusion: A review

C Chua, Y Liu, RJ Williams, CK Chua… - Journal of Manufacturing …, 2024 - Elsevier
An increasing number of metal components processed by additive manufacturing (AM) are
now being used in industrial applications. However, in the most demanding applications …

Detection of keyhole pore formations in laser powder-bed fusion using acoustic process monitoring measurements

JR Tempelman, AJ Wachtor, EB Flynn, PJ Depond… - Additive …, 2022 - Elsevier
In-situ process monitoring of additively manufactured parts has become a topic of increasing
interest to the manufacturing community. In this work, acoustic measurements recorded …

Process monitoring, diagnosis and control of additive manufacturing

Q Fang, G **ong, MC Zhou, TS Tamir… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Additive manufacturing (AM) can build up complex parts in a layer-by-layer manner, which is
a kind of novel and flexible production technology. The special manufacturing capability of …

A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting

J Li, Q Zhou, L Cao, Y Wang, J Hu - Journal of Manufacturing Systems, 2022 - Elsevier
Selective laser melting (SLM) is an emerging and popular metal additive manufacturing
(AM) technique to fabricate advanced metal components with complex geometries …

Applications of machine learning in process monitoring and controls of L-PBF additive manufacturing: A review

D Mahmoud, M Magolon, J Boer, MA Elbestawi… - Applied Sciences, 2021 - mdpi.com
One of the main issues hindering the adoption of parts produced using laser powder bed
fusion (L-PBF) in safety-critical applications is the inconsistencies in quality levels …