Add Yahoo as a preferred source to see more of our stories on Google. Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new ...

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 ...

Understanding the basic limitations of 3D printing will allow issues to be corrected before they are submitted for an analysis and a quote. While 3D printing has a reputation for offering an infinite ...

Scientists from the federally funded Argonne National Laboratory in Illinois and the University of Virginia have developed a new approach for detecting defects in metal parts produced by 3D printing.