Components made of glass- and carbon- fiber reinforced composites, soaring in high-performance applications, can be 3D printed. A team of researchers has found that the printer head toolpaths are easy to reproduce -- and therefore steal -- with machine learning (ML) tools applied to the microstructures of the part obtained by a CT scan.
from Top Technology News -- ScienceDaily https://ift.tt/2O5aKg8
Tuesday, 7 July 2020
Machine learning reveals vulnerabilities in 3D-printed carbon-fiber composites
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