Optical 3D metrology enables fast, non-contact surface roughness measurement of defects and roughness for precise ...

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 ...

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 ...

Explore the latest advances in metal 3D printing, where researchers bypass STL files to create stronger, more efficient ...