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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.
P. Meekunnasombat, J. G. Oakley, M. H. Anderson, R. Bonazza
Fusion Science and Technology | Volume 44 | Number 2 | September 2003 | Pages 351-355
Technical Paper | Fusion Energy - Chamber Technology | doi.org/10.13182/FST03-A359
Articles are hosted by Taylor and Francis Online.
Many inertial fusion energy reactor designs incorporate the use of liquid wall protection of cooling tubes to mitigate damage due to energetic particles and to absorb target debris. However, the pressure loading of the reactor first wall from the impulsive loading from the shock-accelerated liquid layer may be a concern. A vertical shock tube is used to conduct shock-accelerated liquid layer experiments to simulate this scenario. A shock wave contacts and accelerates a water layer down the shock tube where it is imaged in the test section. The pressure histories at various positions along the length of the shock tube are digitally recorded as well as the shadowgraph image of the breakup of the water layer. It is found that the speed of the transmitted shock wave is reduced after passing through the liquid layer, however, the pressure load at the end-wall of the shock tube is significantly increased due to the present of the liquid layer. Water layers of two different thicknesses are studied at several Mach numbers ranging from 1.34 to 3.20.