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 ...
The MDF, supported by Department of Energy’s Advanced Materials and Manufacturing Technologies Office, is a nationwide ...
BOSTON--(BUSINESS WIRE)--Desktop Metal (NYSE: DM) today announced it has acquired Aerosint, a pioneer in multi-material deposition systems for powder-based additive manufacturing (AM) solutions.
Researchers have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection. Researchers from EPFL have resolved a long-standing ...
BOSTON--(BUSINESS WIRE)--Desktop Metal, Inc. (NYSE: DM), a global leader in Additive Manufacturing 2.0 technologies for mass production of metal, ceramic, polymer, and health products, today announced ...
University of Wisconsin–Madison engineers have found a way to simultaneously mitigate three types of defects in parts produced using a prominent additive manufacturing technique called laser powder ...
Understanding how dislocations (line defects in the crystal structure) occur when 3D-printing metals has been unclear to materials scientists. Understanding when and how dislocations form in ...
Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper ...
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