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 …

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 …

Process defects and in situ monitoring methods in metal powder bed fusion: a review

M Grasso, BM Colosimo - Measurement Science and Technology, 2017 - iopscience.iop.org
Despite continuous technological enhancements of metal Additive Manufacturing (AM)
systems, the lack of process repeatability and stability still represents a barrier for the …

[HTML][HTML] Automatic fault detection for laser powder-bed fusion using semi-supervised machine learning

IA Okaro, S Jayasinghe, C Sutcliffe, K Black… - Additive …, 2019 - Elsevier
Risk-averse areas such as the medical, aerospace and energy sectors have been
somewhat slow towards accepting and applying Additive Manufacturing (AM) in many of …

Detecting keyhole pore defects and monitoring process signatures during laser powder bed fusion: A correlation between in situ pyrometry and ex situ X-ray …

JB Forien, NP Calta, PJ DePond, GM Guss… - Additive …, 2020 - Elsevier
Creation of pores and defects during laser powder bed fusion (LPBF) can lead to poor
mechanical properties and thus must be minimized. Post-build inspection is required to …

In situ measurements of layer roughness during laser powder bed fusion additive manufacturing using low coherence scanning interferometry

PJ DePond, G Guss, S Ly, NP Calta, D Deane… - Materials & Design, 2018 - Elsevier
Layer-to-layer height measurements of additively manufactured 316L stainless steel using
high speed spectral-domain optical coherence tomography (SD-OCT) are presented. Layers …

In situ monitoring of selective laser melting of zinc powder via infrared imaging of the process plume

M Grasso, AG Demir, B Previtali… - Robotics and Computer …, 2018 - Elsevier
Despite continuous technological improvements in metal additive manufacturing (AM)
systems, process stability is still affected by several possible sources of defects especially in …

In situ morphology-based defect detection of selective laser melting through inline coherent imaging

JA Kanko, AP Sibley, JM Fraser - Journal of Materials Processing …, 2016 - Elsevier
Additive manufacturing techniques such as selective laser melting offer unique capabilities
in the manufacture of geometrically-complex metal components, but online quality …

Digitally twinned additive manufacturing: Detecting flaws in laser powder bed fusion by combining thermal simulations with in-situ meltpool sensor data

R Yavari, A Riensche, E Tekerek, L Jacquemetton… - Materials & Design, 2021 - Elsevier
The goal of this research is the in-situ detection of flaw formation in metal parts made using
the laser powder bed fusion (LPBF) additive manufacturing process. This is an important …

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 …