Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
ZEISS Head of Additive Manufacturing Technology Claus Hermannstädter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times while improving quality.