May 21, 2026 — Researchers at the U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have created a new tool that can catch and correct potential mistakes in real time while 3D printing large plastic parts. The automated system could help U.S. manufacturers produce large, custom parts with fewer defects, potentially reducing waste, lowering […] The post ORNL Uses Computer Vision and Digital Twins to Improve Large-Scale 3D Printing appeared first on HPCwire .
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