New US-made smart tool fixes 3D printing mistakes in real time during manufacturing

ORNL researchers built an AI-enabled 3D printing controller for large composite parts.

The system combines sensors, thermal cameras, computer vision and machine learning to spot defects as they form.

It can automatically adjust temperature and printing speed in real time to correct errors during production.

The approach could improve quality, reduce waste and lower costs for industrial parts used in vehicles, aircraft and other heavy-duty applications.