Using machine learning to identify in-situ melt pool signatures indicative of flaw formation in a laser powder bed fusion additive manufacturing process

L Scime, J Beuth - Additive Manufacturing, 2019 - Elsevier
Because many of the most important defects in Laser Powder Bed Fusion (L-PBF) occur at
the size and timescales of the melt pool itself, the development of methodologies for …

Melt pool geometry and morphology variability for the Inconel 718 alloy in a laser powder bed fusion additive manufacturing process

L Scime, J Beuth - Additive Manufacturing, 2019 - Elsevier
Expanding on prior process mapping work by the authors, multiple melt pool cross-sections
are measured at multiple process parameter combinations for the Inconel 718 alloy in a …

[HTML][HTML] A mechanistic explanation of shrinkage porosity in laser powder bed fusion additive manufacturing

WF Templeton, S Hinnebusch, ST Strayer, AC To… - Acta Materialia, 2024 - Elsevier
This work focuses on the occurrence of shrinkage porosity and its manifestation in Alloy 718
during laser-powder bed fusion (PBF-LB) processing. Shrinkage porosity is a common …

Finding the limits of single-track deposition experiments: An experimental study of melt pool characterization in laser powder bed fusion

WF Templeton, S Hinnebusch, S Strayer, A To… - Materials & Design, 2023 - Elsevier
This work identifies sources of error in melt pool characterization tests that are frequently
employed to study processing parameters in laser powder bed fusion (L-PBF) additive …

Use of non-spherical hydride-dehydride (HDH) powder in powder bed fusion additive manufacturing

SP Narra, Z Wu, R Patel, J Capone, M Paliwal… - Additive …, 2020 - Elsevier
There is a growing interest in using recycled materials and economically produced powder
in additive manufacturing processes. State-of-the-art powder bed fusion additive …

Development of a rapid solidification model for additive manufacturing process and application to Al-Si alloy

M Yun, IH Jung - Acta Materialia, 2024 - Elsevier
Accurate prediction of the solidification microstructure produced by additive manufacturing
(AM) process is indispensable for the precise manufacturing process control. In the present …

Enhancing ductility and fatigue strength of additively manufactured metallic materials by preheating the build platform

PD Nezhadfar, N Shamsaei… - Fatigue & Fracture of …, 2021 - Wiley Online Library
The effect of preheating the build platform (process) on the microstructure/defect structure
(structure) as well as the tensile and fatigue behaviour (property) of the laser beam powder …

The influence of beam focus during laser powder bed fusion of a high reflectivity aluminium alloy—AlSi10Mg

S Patel, H Chen, M Vlasea, Y Zou - Additive Manufacturing, 2022 - Elsevier
The laser powder bed fusion (LPBF) of aluminium alloys is associated with numerous
challenges when compared to other commonly used alloys (eg, steels and titanium alloys) …

Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging

W Zhang, Y Zeng, J Wang, H Ma, Q Zhang, S Fan - Computers in Industry, 2023 - Elsevier
The randomness and low frequency of laser powder bed fusion defects are two important
characteristics that can impact the quality and reliability of parts. Therefore, effectively …

Adhesive and alloying properties of dual purpose polyfurfuryl alcohol binder for binder jet additive manufacturing of steel

WX Tan, PJ Chiang, LP Tan, RV Ramanujan… - Additive …, 2024 - Elsevier
In-situ alloying in steel can be achieved in the binder jet additive manufacturing process by
incorporating alloying elements into the binder. However, using binders with nanoparticle …