Senvol receives U.S. Navy funding to develop machine learning-based sensor fusion for metal additive manufacturing.

The U.S. Department of Energy’s Oak Ridge National Laboratory (ORNL) has unveiled the latest version of its additive ...

Senvol is to demonstrate that its machine learning software can accurately predict the material performance of parts made on ...

The MDF, supported by Department of Energy’s Advanced Materials and Manufacturing Technologies Office, is a nationwide ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

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 neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to ...

Ryan Saucier (left) and Nathan Humbert (right), both lead additive manufacturing engineers, handle Colibrium Additive’s equipment housed in Purdue Applied Research Institute’s (PARI) Hypersonics ...

The software that supports additive manufacturing is a vital part of the 3D printing process—arguably as important as the 3D printer itself. Computer-aided design, manufacturing and engineering ...

Just before the onset of the Covid-19 pandemic, my company worked with a leading U.S. footwear manufacturer as they strategically assessed the role of additive manufacturing (AM) in its future ...