Researchers from Northwestern University, University of Virginia, Carnegie Mellon University, and Argonne National Laboratory have made a significant advancement in defect detection and process monitoring for laser powder bed fusion (LPBF) additive manufacturing.
Machine learning enhances defect detection in metal 3D printing
