AI RESEARCH
Graph-augmented Segmentation of Complex Shapes in Laser Powder bed Fusion for Enhanced In Situ Inspection
arXiv CS.CV
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ArXi:2604.24234v1 Announce Type: new The technological maturity of in situ inspection and monitoring methods in additive manufacturing is steadily increasing, enabling efficient and practical qualification procedures. In this context, image segmentation of powder bed images in Laser Powder Bed Fusion (L-PBF) has been investigated by various authors, leveraging both edge detection and machine learning approaches to identify deviations from nominal geometry.