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The Fluid Systems Engineering and Management Blog

by Swagelok Northern California

LLNL Machine Learning Detects 3D Printer Failures With 10ms of Video

by Jeff Hopkins, on 2/11/19 9:00 AM

Researchers at Lawrence Livermore National Laboratory have used an algorithm to monitor 3D printing frame by frame that can detect errors in parts as they are printed. The technique improves 3D printing to 93% accuracy.

Read the full article published in 3D Printing Industry →

Topics:Mission Critical

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