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 …

A digital twin hierarchy for metal additive manufacturing

A Phua, CHJ Davies, GW Delaney - Computers in Industry, 2022 - Elsevier
Digital twins present a conceptual framework for product life-cycle monitoring and control
using a simulated replica of the physical system. Since their emergence, they have garnered …

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 …

Review of Computer-Aided Manufacturing (CAM) strategies for hybrid directed energy deposition

T Feldhausen, L Heinrich, K Saleeby, A Burl, B Post… - Additive …, 2022 - Elsevier
Hybrid additive manufacturing intertwines both additive and subtractive manufacturing layer
by layer to digitally fabricate parts with complex geometries, improved surface finish and …

Applications of machine learning in metal powder-bed fusion in-process monitoring and control: status and challenges

Y Zhang, W Yan - Journal of Intelligent Manufacturing, 2023 - Springer
The continuous development of metal additive manufacturing (AM) promises the flexible and
customized production, spurring AM research towards end-use part fabrication rather than …

Metal-based additive manufacturing condition monitoring: A review on machine learning based approaches

K Zhu, JYH Fuh, X Lin - IEEE/ASME Transactions on …, 2021 - ieeexplore.ieee.org
The metal-based additive manufacturing (MAM) processes have great potential in wide
industrial applications, for their capabilities in building dense metal parts with complex …

Assisted defect detection by in-process monitoring of additive manufacturing using optical imaging and infrared thermography

Y AbouelNour, N Gupta - Additive Manufacturing, 2023 - Elsevier
Layer-wise in-process monitoring in Fused Filament Fabrication (FFF) 3D printing can
facilitate the detection of defects introduced during manufacturing. In this work, optical …

High resolution-optical tomography for in-process layerwise monitoring of a laser-powder bed fusion technology

MG Guerra, V Errico, A Fusco, F Lavecchia… - Additive …, 2022 - Elsevier
With the implementation of Laser Powder Bed Fusion technologies for industrial production,
the need for in-process monitoring has emerged to ensure stable conditions and the process …

Applications of artificial intelligence and machine learning in metal additive manufacturing

LJ Ladani - Journal of Physics: Materials, 2021 - iopscience.iop.org
Artificial intelligence (AI) and additive manufacturing (AM) are both disruptive new
technologies. AI has entered many aspects of our lives, but has not been fully realized in the …