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 ...

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 ...

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

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

Many industries rely on metal additive manufacturing to rapidly build parts and components. Rocket engine nozzles, pistons for high performance cars, and custom orthopedic implants are all made using ...

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 ...

Please provide your email address to receive an email when new articles are posted on . In March, the first surgeries were completed with patient-specific 3D-printed orthopedic implants produced at ...

Imagine a material that can build a strong and sturdy yet fossil-fuel-free vehicle, one that could both withstand the force of getting T-boned by a bus but be light enough to offset the weight of the ...