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Marthi receives IEEE senior member honor
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Keeping aging structures safe
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Building energy around changing climate

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An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy

Manufacturing – Defect detection

Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.

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3-D printed Shelby Cobra highlights ORNL R&D at Detroit Auto Show

With a 3-D printed twist on an automotive icon, the Department of Energy’s Oak Ridge National Laboratory is showcasing additive manufacturing research at the 2015 North American International Auto Show in Detroit.