Tag: University of Virginia
Argonne researchers develop AI approach to detect flaws of 3D-printed parts
A research team led by the US Department of Energy’s (DOE) Argonne National Laboratory and the University of Virginia (UVA) has developed various imaging and machine-learning techniques to detect and predict the formation of pores in 3D-printed metals in real time with near-perfect accuracy.
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APS Industrial brings Siemens’ next-gen PLC to Aussie manufacturers
As the manufacturing industry advances towards greater automation and digitalisation, companies are seeking smarter and more efficient control solutions to enhance their operations.
