Wednesday, June 14, 2017

Carnegie Mellon develops machine vision autonomous system for metal 3D printing

Carnegie Mellon develops machine vision autonomous system for metal 3D printing
Research from Carnegie Mellon University’s (CMU) College of Engineering has developed an autonomous system for classifying the metal powders used for 3D printing. Using machine vision technology, the system can identify specific microstructures in the additive manufacturing metal powders with an accuracy of greater than 95%. Metal powders are used in powder bed fusion 3D […]
 


from The 3d printers source http://ift.tt/2s1vDP0

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