Content by S. Heather Duncan
National Lab Collaboration Improves Flaw Detection of Nuclear Reactor ComponentsResearch partnership improves inspection of AM nuclear components, and soon, nuclear fuels
Wed, 02/05/2025 - 00:01
Idaho National Laboratory (INL) uses a software algorithm that Oak Ridge National Laboratory (ORNL) developed to check for flaws in additively manufactured components. This is part of the process of identifying promising metals and alloys for 3D…
Deep Learning Makes X-ray CT Inspection of 3D-printed Parts Faster, More AccurateGetting the most out of X-ray computed tomography
Mon, 11/07/2022 - 11:02
A new deep-learning framework developed at the U.S. Dept. of Energy’s Oak Ridge National Laboratory is speeding up the process of inspecting additively manufactured metal parts using X-ray computed tomography, or CT, while increasing the accuracy of…