SUNY Buffalo and Moog develop metal additive manufacturing AI system - 3D Printing Media Network

While Moog has been making significant process improvements to reduce this workload, Professor Rai at University at Buffalo, part of the SUNY System, has been mastering the art of image recognition using artificial intelligence. Thanks to funding from the UB New York State Center of Excellence in Materials Informatics (CMI), Moog engineers and Professor Rai were able to apply convolutional neural networks to metal additively manufactured parts. The result is a highly trained computer algorithm that can recognize high-quality additive manufactured parts and reject the lower quality ones. The above diagram describes this algorithm and a sample resultant image from this work. This large image has been reconstructed from 144 sub-images that were individually evaluated and colored by the computer algorithm.