Tuesday, 7 July 2020
Machine learning reveals vulnerabilities in 3D-printed carbon-fiber composites
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.
Subscribe to:
Post Comments (Atom)
-
In this project, we will learn about the MCP2515 CAN Controller Module, how to interface the MCP2515 CAN Bus Controller with Arduino and fin...
-
Do you need a MOSFET gate resistor? What value should it be? And should it go before or after the pulldown resistor? If you’re a bit impati...
-
Smart LCD with Automatic Brightness Adjusting Using Arduino and LDR Sensor Here is a simple Arduino project that focuses on adjusting the b...
No comments:
Post a Comment