A review on metal additive manufacturing for intricately shaped aerospace components

V Madhavadas, D Srivastava, U Chadha, SA Raj… - CIRP Journal of …, 2022 - Elsevier
Additive manufacturing (AM) is one of the fastest-growing industrial techniques, bringing
many innovative solutions to different manufacturing problems. In AM, a sliced image of the …

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 …

Robust metal additive manufacturing process selection and development for aerospace components

P Gradl, DC Tinker, A Park, OR Mireles… - Journal of Materials …, 2022 - Springer
Metal additive manufacturing (AM) encapsulates the myriad of manufacturing processes
available to meet industrial needs. Determining which of these AM processes is best for a …

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 …

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 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 …

[HTML][HTML] Predicting laser powder bed fusion defects through in-process monitoring data and machine learning

S Feng, Z Chen, B Bircher, Z Ji, L Nyborg, S Bigot - Materials & Design, 2022 - Elsevier
Industry application of additive manufacturing demands strict in-process quality control
procedures and high product quality. Feedback loop control is a reasonable solution and a …

[HTML][HTML] Acoustic emission for the prediction of processing regimes in laser powder bed fusion, and the generation of processing maps

R Drissi-Daoudi, G Masinelli, C de Formanoir… - Additive …, 2023 - Elsevier
Abstract The Laser Power Bed Fusion (LPBF) process is of high interest to many industries,
such as motors and vehicles, robotics, biomedical applications, aerospace, and others …

[HTML][HTML] An in situ crack detection approach in additive manufacturing based on acoustic emission and machine learning

DY Kononenko, V Nikonova, M Seleznev… - Additive manufacturing …, 2023 - Elsevier
The use of additive manufacturing (AM) and its particular realization–laser powder bed
fusion (L-PBF)–is on the rise. However, the method is not free from flaws, mainly …

A review of high energy density beam processes for welding and additive manufacturing applications

T Patterson, J Hochanadel, S Sutton, B Panton… - Welding in the …, 2021 - Springer
High-energy density beam processes for welding, including laser beam welding and
electron beam welding, are essential processes in many industries and provide unique …