Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges

P Wang, Y Yang, NS Moghaddam - Journal of Manufacturing Processes, 2022 - Elsevier
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …

Recent progress on microstructure manipulation of aluminium alloys manufactured via laser powder bed fusion

Z Xiao, W Yu, H Fu, Y Deng, Y Wu… - Virtual and Physical …, 2023 - Taylor & Francis
Laser powder bed fusion (LPBF) is a promising additive manufacturing technique that allows
layer-by-layer fabrication of metallic powders. Distinguished thermal dynamics result in the …

MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning

P Akbari, F Ogoke, NY Kao, K Meidani, CY Yeh… - Additive …, 2022 - Elsevier
Characterizing melt pool shape and geometry is essential in Metal Additive Manufacturing
(MAM) to control the printing process, and avoid defects. Predicting melt pool flaws based on …

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 …

Multi phenomena melt pool sensor data fusion for enhanced process monitoring of laser powder bed fusion additive manufacturing

A Gaikwad, RJ Williams, H de Winton, BD Bevans… - Materials & Design, 2022 - Elsevier
Finding actionable trends in laser-based metal additive manufacturing process monitoring
data is challenging owing to the diversity and complexity of the underlying physical …

[HTML][HTML] Monitoring of the powder bed quality in metal additive manufacturing using deep transfer learning

FG Fischer, MG Zimmermann, N Praetzsch, C Knaak - Materials & Design, 2022 - Elsevier
Abstract Laser Powder Bed Fusion can be used to additively manufacture complex shapes
directly from metal powder. Achieving reproducible component quality requires a …

Numerical studies of melt pool and gas bubble dynamics in laser powder bed fusion process

E Li, Z Zhou, L Wang, R Zou, A Yu - Additive Manufacturing, 2022 - Elsevier
The formation of pores can severely deteriorate the quality of parts fabricated by laser
powder bed fusion (LPBF) technology. However, how the pores formation relates to melt …

Influence of powder size on defect generation in laser powder bed fusion of AlSi10Mg alloy

F Chu, E Li, H Shen, Z Chen, Y Li, H Liu, S Min… - Journal of Manufacturing …, 2023 - Elsevier
The particle size distribution (PSD) often changes as powders are cycled for recycled and
different powder batches are used, challenging a critical aspect of quality assurance in the …

Thermal behavior and control during multi-track laser powder bed fusion of 316 L stainless steel

D Yao, J Wang, H Luo, Y Wu, X An - Additive Manufacturing, 2023 - Elsevier
Understanding and controlling the thermal behavior during laser powder bed fusion (LPBF)
additive manufacturing (AM) is crucial to improve the quality of the printed layer and the …

[HTML][HTML] Synergic strategies to improve the PBF-LB\M processability of a cracking-sensitive alloy

A Martucci, A Aversa, F Bondioli, P Fino, M Lombardi - Materials & Design, 2022 - Elsevier
Abstract The Powder Bed Fusion-Laser Beam\Metals (PBF-LB\M) is a promising additive
manufacturing process that can be used to directly produce functional components with a …