[HTML][HTML] In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review

R McCann, MA Obeidi, C Hughes, É McCarthy… - Additive …, 2021 - Elsevier
Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …

Review of intelligence for additive and subtractive manufacturing: current status and future prospects

MA Rahman, T Saleh, MP Jahan, C McGarry… - Micromachines, 2023 - mdpi.com
Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless
possibilities in various sectors covering personal, industrial, medical, aviation and even …

[HTML][HTML] Time-series pattern recognition in Smart Manufacturing Systems: A literature review and ontology

MA Farahani, MR McCormick, R Gianinny… - Journal of Manufacturing …, 2023 - Elsevier
Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …

[HTML][HTML] Metal additive manufacturing by laser-powder bed fusion: Guidelines for process optimisation

MA Obeidi - Results in Engineering, 2022 - Elsevier
Additive manufacturing is growing rapidly in the last decades due to the significant
development in the laser technology and metal powder manufacturing. It offers a way to …

Detecting voids in 3D printing using melt pool time series data

V Mahato, MA Obeidi, D Brabazon… - Journal of Intelligent …, 2022 - Springer
Abstract Powder Bed Fusion (PBF) has emerged as an important process in the additive
manufacture of metals. However, PBF is sensitive to process parameters and careful …

Prediction of melt pool shape in additive manufacturing based on machine learning methods

X Zhu, F Jiang, C Guo, Z Wang, T Dong, H Li - Optics & Laser Technology, 2023 - Elsevier
Abstract Directed Energy Deposition (DED), one type of additive manufacturing (AM) as
novel modern manufacturing technology, is widely employed to fabricate materials layer by …

Physics-guided long short-term memory networks for emission prediction in laser powder bed fusion

R Lei, YB Guo, W Guo - Journal of …, 2024 - asmedigitalcollection.asme.org
Powder bed fusion (PBF) is an additive manufacturing process in which laser heat liquefies
blown powder particles on top of a powder bed, and cooling solidifies the melted powder …

Bone Regeneration Induced by Patient-Adapted Mg Alloy-Based Scaffolds for Bone Defects: Present and Future Perspectives

V Manescu, I Antoniac, A Antoniac, D Laptoiu… - Biomimetics, 2023 - mdpi.com
Treatment of bone defects resulting after tumor surgeries, accidents, or non-unions is an
actual problem linked to morbidity and the necessity of a second surgery and often requires …

Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective

C Wu, Y Xu, J Fang, Q Li - Archives of Computational Methods in …, 2024 - Springer
In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …

Explainable AI for layer-wise emission prediction in laser fusion

V Gawade, B Zhang, Y Guo - CIRP Annals, 2023 - Elsevier
The dynamic behavior of melt pools in powder bed-based laser fusion is very challenging to
model using physics-based models and conventional black-box data-driven models …