US Patent Issued to National Technology & Engineering Solutions of Sandia on Aug. 4 for "Machine learning for real-time monitoring and control of additive manufacturing" (New Mexico, California Inventors)

ALEXANDRIA, Va., Aug. 5 -- United States Patent no. 12,697,781, issued on Aug. 4, was assigned to National Technology & Engineering Solutions of Sandia LLC (Albuquerque, N.M.).

"Machine learning for real-time monitoring and control of additive manufacturing" was invented by Devin John Roach (Albuquerque, N.M.), Andrew Rohskopf (San Jose, Calif.), William Derek Reinholtz (Albuquerque, N.M.), Adam Wade Cook (Albuquerque, N.M.) and Leah N. Appelhans (Tijeras, N.M.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning (ML) approach enables real-time direct ink write (DIW) print-parameter optimization through in-situ monitoring of printed line geometry. The method can use an invertible neural network ...