CORDIS Project
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This project focuses on improving the quality of parts produced through laser metal deposition by studying the dynamics of the molten pool and keyhole. Using X-ray imaging and machine learning, it aims to optimize production parameters for defect-free additive manufacturing.
Additive Manufacturing (AM) has been a hot topic for many years. A fundamental understanding of the metal flows in the molten pool is critical to improving the quality of the sample produced by AM.
Laser metal deposition (LMD) is one of the most widely used AM methods, which has a high production efficiency, and a special application in repairing the damaged parts with large size and high price.
During the LMD process, a powdery filler is injected from the nozzle onto the surface of the base met…
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