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

Researchers can now detect the formation of keyhole pores, one of the most challenging defects common in additive manufacturing, with incredible accuracy. A research team led by Tao Sun, associate ...

Researchers have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection. Researchers from EPFL have resolved a long-standing ...

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 ...

A team of researchers from the University of Virginia, Carnegie Mellon University, and the University of Wisconsin-Madison has made a breakthrough in the field of additive manufacturing that could ...

Using X-ray beams and machine learning for detecting structural defects, such as pore formation, can help prevent failure of metal 3D-printed parts. Systematic computer-based material design uses ...

This 3D-printed component, made with Markforged Metal-X technology, is used in training at the Institute for Advanced Learning and Research’s additive manufacturing lab. (Institute for Advanced ...

SolidCAM is enabling job shops to master the entire metal AM process, from design to printing to post-process machining. If you're a job shop or other high-mix machining operation, sooner or later you ...