Machine learning enhances defect detection in metal 3D printing

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.

This post was originally published on this site

Skip The Dishes Referral Code

Lawyers Lookup - LawyersLookup.ca