Argonne scientists who worked on a project to avoid defects in 3D-printed parts pose in front of a device that simulates laser powder bed fusion in a commercial 3D printer. Pictured, clockwise from ...
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 ...
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 ...
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