A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
Laser beam powder bed fusion (LB-PBF) is a widely-used metal additive manufacturing
process due to its high potential for fabrication flexibility and quality. Its process and …
process due to its high potential for fabrication flexibility and quality. Its process and …
A review of the multi-dimensional application of machine learning to improve the integrated intelligence of laser powder bed fusion
Laser powder bed fusion (LPBF) as one of the most promising additive manufacturing (AM)
technologies, has been widely used to produce metal parts and applied in fields such as …
technologies, has been widely used to produce metal parts and applied in fields such as …
Comparative analysis and experimental validation of statistical and machine learning-based regressors for modeling the surface roughness and mechanical …
I La Fé-Perdomo, JA Ramos-Grez, I Jeria… - Journal of Manufacturing …, 2022 - Elsevier
This article analyzes the surface roughness and mechanical properties of 316L samples
produced by Selective Laser Melting (SLM) through the application of statistical regression …
produced by Selective Laser Melting (SLM) through the application of statistical regression …
Physics-informed machine learning for metal additive manufacturing
The advancement of additive manufacturing (AM) technologies has facilitated the design
and fabrication of innovative and complicated structures or parts that cannot be fabricated …
and fabrication of innovative and complicated structures or parts that cannot be fabricated …
[HTML][HTML] Predictions of additive manufacturing process parameters and molten pool dimensions with a physics-informed deep learning model
M Zhao, H Wei, Y Mao, C Zhang, T Liu, W Liao - Engineering, 2023 - Elsevier
Molten pool characteristics have a significant effect on printing quality in laser powder bed
fusion (PBF), and quantitative predictions of printing parameters and molten pool …
fusion (PBF), and quantitative predictions of printing parameters and molten pool …
Physics-informed machine learning for accurate prediction of temperature and melt pool dimension in metal additive manufacturing
The temperature distribution and melt pool size have a great influence on the microstructure
and mechanical behavior of metal additive manufacturing process. The numerical method …
and mechanical behavior of metal additive manufacturing process. The numerical method …
Single-track study of A20X aluminum alloy fabricated by laser powder bed fusion: Modeling and experiments
M Ghasri-Khouzani, H Karimialavijeh… - Optics & Laser …, 2023 - Elsevier
Optimum process parameter window for recently developed metal powders used for laser
powder bed fusion (LPBF) is strongly correlated with characteristics of each single track and …
powder bed fusion (LPBF) is strongly correlated with characteristics of each single track and …
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
The use of composite materials is increasing in industry sectors such as renewable energy
generation and storage, transport (including automotive, aerospace and agri-machinery) …
generation and storage, transport (including automotive, aerospace and agri-machinery) …
In-situ observation of the bond formation process during ultrasonic metal welding of Al/Cu joints using Laser Doppler Vibrometry
J Li, F Balle - Journal of Manufacturing Processes, 2023 - Elsevier
In recent years, ultrasonic metal welding (USMW) has gained considerable research
attention due to the increasing application of lithium-ion batteries in electric vehicles …
attention due to the increasing application of lithium-ion batteries in electric vehicles …
Best practices for machine learning strategies aimed at process parameter development in powder bed fusion additive manufacturing
The process parameters used for building a part utilizing the powder-bed fusion (PBF)
additive manufacturing (AM) system have a direct influence on the quality—and therefore …
additive manufacturing (AM) system have a direct influence on the quality—and therefore …