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Denver, CO|Sheraton Denver
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Latest News
AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
S. Sasanka Kumar, M. K. Jayaraj, Ajai Kumar, Ravi A. V. Kumar
Fusion Science and Technology | Volume 64 | Number 1 | July 2013 | Pages 54-62
Technical Paper | doi.org/10.13182/FST13-A17047
Articles are hosted by Taylor and Francis Online.
Elemental compositional analysis was carried out on various portions (edges to center) of the film on the ADITYA tokamak window using X-ray diffraction, energy-dispersive X-ray analysis, scanning electron microscopy, and X-ray photoelectron spectroscopy. Optical transmission studies were carried out at various points along the length and breadth of the film. An automated tabletop setup was developed for cleaning the coating by back-side etching using an Nd:yttrium aluminum garnet laser operated at its second and third harmonics. Various experimental parameters were optimized so as to restore maximum transmission for the window. It was observed that a wavelength of 355 nm at an energy density of 1275 mJ/cm2 and at a repetition rate of 10 Hz was found to be best suited for this application. It was possible to restore the transmission of the coated portion to the transmission level of bare window portions using this setup.