Researchers use Machine Learning for Monitoring In-situ Metal Pore Formation

keyhole pore featured imagePorosity and other defects are a problem where it comes to parts printed with metal powder bed fusion processes. One team of researchers from the U.S. Department of Energy’s Argonne National Laboratory, and Texas A&M University have published their findings which may play a part in reducing these subsurface defects. The team has figured out […]

source https://3dprinting.com/metal/researchers-use-machine-learning-for-monitoring-in-situ-metal-pore-formation/