AI Learns to Work Around Metal 3D Printing Defects

Researchers at POSTECH and the Korea Institute of Materials Science (KIMS) have developed an AI framework that predicts the mechanical strength of metal 3D printed components in seconds, even in the presence of internal defects.  Their work, published in Acta Materialia, offers a model…

This story was originally published by 3D Printing Industry.