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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.
E. Valmianski, R. W. Petzoldt
Fusion Science and Technology | Volume 51 | Number 4 | May 2007 | Pages 800-803
Technical Paper | doi.org/10.13182/FST07-A1483
Articles are hosted by Taylor and Francis Online.
Mechanical response of DT targets to acceleration was analyzed using the finite element method for Inertial Fusion Energy (IFE) targets and for smaller targets that have been proposed for an upcoming Fusion Test Facility (FTF). Analysis was done in the temperature and acceleration regions of interest for Inertial Fusion Energy (14-19 K and 1,000-10,000 m/s2). In these ranges, von Mises stress distribution, axial deflection, and the minimum value of support membrane attachment angle as well as free vibrations of the target after it leaves the injector were calculated. The role of the outer polymer coating, the support membrane attachment angle and the DT void pressure in the mechanical response of a DT target to acceleration was considered. Analysis shows, assuming that DT mechanical properties are equivalent to D2, that IFE and FTF targets should withstand acceleration of up to 10,000 m/s2 with negligible deformation.