R & D Magazine

Researchers Explore Machine Learning to Prevent Defects in Metal 3D-Printed Parts in Real Time
R & D Magazine
Lawrence Livermore National Laboratory researchers have developed machine learning algorithms capable of processing the data obtained during metal 3D printing in real time and detecting within milliseconds whether a 3D part will be of satisfactory ...

Comments are closed.