Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation

Luke Scime; Derek Siddel; Seth Baird; Vincent Paquit

doi:10.1016/j.addma.2020.101453

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Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation

Luke Scime Derek Siddel Seth Baird Vincent Paquit

Year: 2020 Journal: Additive manufacturing Vol: 36 Pages: 101453-101453 Publisher: Elsevier BV

DOI: 10.1016/j.addma.2020.101453

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Keywords:

Segmentation Algorithm Convolutional neural network Computation Materials science Layer (electronics) Artificial intelligence Computer science Anomaly detection Pixel Nanotechnology

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Additive Manufacturing Materials and Processes

Physical Sciences → Engineering → Mechanical Engineering

Advanced X-ray and CT Imaging

Physical Sciences → Engineering → Biomedical Engineering

Layer-wise anomaly detection and classification for powder bed additive manufacturing processes: A machine-agnostic algorithm for real-time pixel-wise semantic segmentation

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Citation History

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