A new AI framework that analyzes high-frequency welding signals can spot subtle process instabilities before defects form, paving the way for faster, more reliable, and cost-efficient additive ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.

With support from the U.S. Air Force, engineers are harnessing next-gen AI to identify microscopic flaws in binder jetting, a 3D printing method vital to aerospace and defense—marking a major step ...

TDK SensEI’s edgeRX Vision system, powered by advanced AI, accurately detects defects in components as small as 1.0×0.5 mm in real time. Operating at speeds up to 2000 parts per minute, it reduces ...

At Formnext 2025, BLT introduced the BLT-PrintInsight software platform to address significant challenges posed by defects ...

Freeform Future Corp., a startup developing 3D printers for producing metal parts, today announced that it has raised $14 million in funding. The capital came from Nvidia Corp.’s NVentures fund and ...

(Nanowerk News) Structural defects that form during additive manufacturing, also known as 3D printing, are a barrier to some applications of this technology. Researchers used diagnostic tools and ...

Researchers from Northwestern University, University of Virginia, Carnegie Mellon University, and Argonne National Laboratory have made a significant advancement in defect detection and process ...