Two studies, led by Rajiv Malhotra have illustrated how AI can support the broader use and faster evolution of AM technology.

Senvol is to demonstrate that its machine learning software can accurately predict the material performance of parts made on ...

Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...

Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming ...

Industry experts shed some light on the critical aspects of software for additive manufacturing. From advanced capabilities to the trends in the CAD/CAM/PDM/PLM market, get answers to help empower ...

Discover how 3D-printable aluminium from MIT delivers extreme strength and heat resistance. Read the full story.

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

Engineers at MIT have taken a metal that usually trades strength for lightness and pushed it into an entirely new class, ...

In the evolving field of additive manufacturing, several innovations have emerged that have helped to drive the industry forward. From the development of advanced and multi-materials for 3D printing ...

Longitudinal (top) and axial (middle) images of X-Ray CT data of parts with 6 internal defects: a spherical clog, a stellated shaped clog, a cone shaped void, a blob shaped void, an elliptical warp of ...