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 ...

A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science ...

Research reveals how pores form during metals additive manufacturing and become defects trapped in solidifying metal. The practical value of this research is that it can inform industry on how to ...

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 ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

Understanding how dislocations (line defects in the crystal structure) occur when 3D-printing metals has been unclear to materials scientists. Understanding when and how dislocations form in ...

An explainable AI model for LPBF predicts pore morphology, location and distribution to link internal defects with mechanical performance.

With Renishaw and Apex Additive Technologies, Addiguru is working to combine its multi-sensor monitoring platform, integrating optical, near-infrared (NIR), and long-wave infrared (LWIR) sensing, with ...

A research team led by Dr. Jeong Min Park of the Nano Materials Research Division at the Korea Institute of Materials Science (KIMS) , in ...

Japanese researchers explore laser-based DED Additive Manufacturing to produce WC-Co cemented carbides with reduced waste and ...