[HTML][HTML] In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

R McCann, MA Obeidi, C Hughes, É McCarthy… - Additive …, 2021 - Elsevier
Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …

Metal additive manufacturing in the commercial aviation industry: A review

A Gisario, M Kazarian, F Martina… - Journal of Manufacturing …, 2019 - Elsevier
Abstract The applications of Additive Manufacturing (AM) have been grown up rapidly in
various industries in the past few decades. Among them, aerospace has been attracted …

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 …

Defects in metal additive manufacturing processes

MC Brennan, JS Keist, TA Palmer - 2021 - Springer
The formation of defects within additive-manufactured (AM) components is a major concern
for critical structural and cyclic load applications. Thus, understanding the mechanisms of …

Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic …

L Scime, D Siddel, S Baird, V Paquit - Additive Manufacturing, 2020 - Elsevier
Increasing industry acceptance of powder bed metal Additive Manufacturing requires
improved real-time detection and classification of anomalies. Many of these anomalies, such …

[HTML][HTML] Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing

SK Everton, M Hirsch, P Stravroulakis, RK Leach… - Materials & Design, 2016 - Elsevier
Lack of assurance of quality with additively manufactured (AM) parts is a key technological
barrier that prevents manufacturers from adopting AM technologies, especially for high …

Anomaly detection and classification in a laser powder bed additive manufacturing process using a trained computer vision algorithm

L Scime, J Beuth - Additive Manufacturing, 2018 - Elsevier
Despite the rapid adoption of laser powder bed fusion (LPBF) Additive Manufacturing by
industry, current processes remain largely open-loop, with limited real-time monitoring …

A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process

L Scime, J Beuth - Additive Manufacturing, 2018 - Elsevier
In-situ detection of processing defects is a critical challenge for Laser Powder Bed Fusion
Additive Manufacturing. Many of these defects are related to interactions between the …

Geometrical metrology for metal additive manufacturing

RK Leach, D Bourell, S Carmignato, A Donmez… - CIRP annals, 2019 - Elsevier
The needs, requirements, and on-going and future research issues in geometrical metrology
for metal additive manufacturing are addressed. The infrastructure under development for …

In-process sensing in selective laser melting (SLM) additive manufacturing

TG Spears, SA Gold - Integrating Materials and Manufacturing Innovation, 2016 - Springer
Additive manufacturing and specifically metal selective laser melting (SLM) processes are
rapidly being industrialized. In order for this technology to see more widespread use as a …