'Reading the invisible': AI framework accounts for hidden defects in metal 3D printing
A new AI framework can detect microscopic internal defects in metal 3D printed components that are invisible to the naked eye but compromise structural integrity, potentially overcoming a key barrier to widespread adoption of metal additive manufacturing.
SourceTech Xplore AI
Metal additive manufacturing (AM), widely regarded as a revolution in modern manufacturing for its ability to produce lightweight and geometrically complex components, has long faced a critical barrier to widespread adoption: microscopic internal defects that are invisible to the naked eye yet significantly compromise structural integrity.