LLNL Develops AI-Powered 3D Print Inspection System

VERA Brief

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Scientists and engineers at Lawrence Livermore National Laboratory have developed an AI and machine learning powered camera-based system to inspect 3D-printed parts during fabrication. This technology monitors the printing process layer by layer to identify microscopic variations and potential defects in real-time.

Key facts

• An AI and machine learning powered inspection system has been developed using a camera-based approach.
• The system monitors 3D-printed structures layer by layer during fabrication.
• It measures subtle variations to potentially identify problems before a part is completed.
• This development could reduce quality control time in additive manufacturing.
• The researchers anticipate improved accuracy and reliability of 3D-printed components.