Additive manufacturing, also called 3D-printing, can enable the domestic fabrication of complex nuclear parts in a short time.
The quality of these products is typically verified through computed tomography or CT scans, which use X-rays to capture images of any weaknesses or errors in the internal structure.
ORNL’s new software algorithm uses machine learning to rapidly reconstruct and analyze the images to significantly cut down on the cost, time, and number of scans needed to perform an inspection.