UCL Team Develops AI Tool to Monitor Metal Additive Manufacturing
Researchers at University College London are using artificial intelligence to speed up the analysis of metal 3D printing, a critical step in improving part quality and reliability. A new neural network, AM-SegNet, can quickly process X-ray images captured during printing, helping engineers better understand the process and enhance manufacturing outcomes for applications such as aerospace. […]
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Author: Paloma Duran
