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 ...
Researchers have developed a new method for detecting defects in additively manufactured components. Researchers at the University of Illinois Urbana-Champaign have developed a new method for ...
Thought LeadersProf. Bo ChenProfessor in MaterialsUniversity of Southampton Prof. Bo Chen, a Professor in Materials at the University of Southampton, UK, focuses on the structural integrity and ...
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 ...
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 ...
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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