A curated collection of research papers with open-source implementations/datasets focused on in-situ process monitoring and adaptive control in laser-based additive manufacturing.
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Updated
Mar 27, 2025
A curated collection of research papers with open-source implementations/datasets focused on in-situ process monitoring and adaptive control in laser-based additive manufacturing.
ROS-based Multisensor Fusion Digital Twin (MFDT) platform for real-time monitoring and defect detection of Laser-Directed Energy Deposition (L-DED) Additive Manufacturing (AM) process.
LDED-FusionNet: Machine Learning-Based Audio-Visual Defect Detection for LDED AM Process
This work customised a novel Fe-Ni-Ti-Al maraging steel assisted by machine learning to leverage the IHT effect for the in-situ formation of massive precipitates during LAM without PHT.
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