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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.
Geraldine Moll, Michel Martin, Philippe Baclet
Fusion Science and Technology | Volume 51 | Number 4 | May 2007 | Pages 737-746
Technical Paper | doi.org/10.13182/FST51-737
Articles are hosted by Taylor and Francis Online.
In this paper, we report the results of thermal simulations made for the cryogenic target of Laser MegaJoule (LMJ). Thermal simulations are done with FLUENT for a new 3-D model which takes in account the fill tubes of the hohlraum and the membranes geometry inside the hohlraum. Firstly, a 1-D simple analytical model was developed in order to help us to limit the number of simulations and time calculations. Then, with the 3-D model, we have studied the effect of external radiation when shield is disconnected from the cryostat and we have determined the maximal height of shield removal before the shot. Finally, we have studied the sensitivity of the target to thermal contact resistances.