In-situ measurement and monitoring methods for metal powder bed fusion: an updated review
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 …
processes, to support part and process qualification and for the early detection of anomalies …
Process monitoring, diagnosis and control of additive manufacturing
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 …
a kind of novel and flexible production technology. The special manufacturing capability of …
Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks
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 …
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
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 …
fusion (LPBF) additive manufacturing process. This objective was realized by extracting …
[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 …
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
The multi-scale and nonlinear feature of additive manufacturing problems poses great
challenges to numerical algorithms regarding computational efficiency and fidelity. In this …
challenges to numerical algorithms regarding computational efficiency and fidelity. In this …
Laser spot size and scaling laws for laser beam additive manufacturing
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 …
of laser process parameters for each feedstock material and machine, which is a laborious …
ExaAM: Metal additive manufacturing simulation at the fidelity of the microstructure
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 …
components, in part by dramatically expanding the design space, allowing optimization of …
Outcomes and conclusions from the 2018 AM-bench measurements, challenge problems, modeling submissions, and conference
Abstract The Additive Manufacturing Benchmark (AM-Bench) test series was established to
provide rigorous measurement test data for validating additive manufacturing (AM) …
provide rigorous measurement test data for validating additive manufacturing (AM) …
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 …
evaluating the properties of printed components in metal additive manufacturing (AM). The …