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 ...
Two studies, led by Rajiv Malhotra have illustrated how AI can support the broader use and faster evolution of AM technology.
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 ...
Laser powder bed fusion is a dominant additive manufacturing technology that has yet to reach its potential. The problem facing industry is that tiny bubbles or pores sometimes form during the ...
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 ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback