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 ...

Metal additive manufacturing (AM), widely recognised for its ability to produce lightweight and geometrically complex ...

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 published research detailing their development of an AI framework to detect defects in additively ...

Triply-twinned body-centred cubic lattices shift strut-scale deformation from bending to stretching, producing major gains in ...

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 ...

Researchers from EPFL 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 ...

A growing number of academic and industrial research groups regard the integration of artificial intelligence-based algorithms into the 3D printing process as a promising approach to improve the ...

A new AI framework predicts microscopic defects in metal 3D printing, forecasting part strength in seconds and cutting ...

Discover how Addireen Now copper 3D printing service simplifies metal additive manufacturing for engineers and designers.