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 …

In-situ process monitoring and adaptive quality enhancement in laser additive manufacturing: a critical review

L Chen, G Bi, X Yao, J Su, C Tan, W Feng… - Journal of Manufacturing …, 2024 - Elsevier
Abstract Laser Additive Manufacturing (LAM) presents unparalleled opportunities for
fabricating complex, high-performance structures and components with unique material …

Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks

Q Zhu, Z Liu, J Yan - Computational Mechanics, 2021 - Springer
The recent explosion of machine learning (ML) and artificial intelligence (AI) shows great
potential in the breakthrough of metal additive manufacturing (AM) process modeling, which …

Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning

Z Smoqi, A Gaikwad, B Bevans, MH Kobir… - Journal of Materials …, 2022 - Elsevier
In this work we accomplished the monitoring and prediction of porosity in laser powder bed
fusion (LPBF) additive manufacturing process. This objective was realized by extracting …

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 …

Laser spot size and scaling laws for laser beam additive manufacturing

JS Weaver, JC Heigel, BM Lane - Journal of Manufacturing Processes, 2022 - Elsevier
Laser powder bed fusion (L-PBF) additive manufacturing (AM) requires the careful selection
of laser process parameters for each feedstock material and machine, which is a laborious …

[HTML][HTML] A virtual sensing approach for monitoring melt-pool dimensions using high speed coaxial imaging during laser powder bed fusion of metals

LR Goossens, B Van Hooreweder - Additive Manufacturing, 2021 - Elsevier
Metal parts produced by Laser Powder Bed Fusion (L-PBF) are frequently used for
demanding applications. To meet stringent safety and certification requirements, a better …

An efficient and high-fidelity local multi-mesh finite volume method for heat transfer and fluid flow problems in metal additive manufacturing

MJ Li, J Chen, Y Lian, F **ong, D Fang - Computer Methods in Applied …, 2023 - Elsevier
The multi-scale and nonlinear feature of additive manufacturing problems poses great
challenges to numerical algorithms regarding computational efficiency and fidelity. In this …

Melt pool temperature measurement and monitoring during laser powder bed fusion based additive manufacturing via single-camera two-wavelength imaging …

CKP Vallabh, X Zhao - Journal of Manufacturing Processes, 2022 - Elsevier
Melt pool (MP) temperature is one of the determining factors and a key signature for
evaluating the properties of printed components in metal additive manufacturing (AM). The …

ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure

JA Turner, J Belak, N Barton… - … Journal of High …, 2022 - journals.sagepub.com
Additive manufacturing (AM), or 3D printing, of metals is transforming the fabrication of
components, in part by dramatically expanding the design space, allowing optimization of …