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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.
Ichiro Yamamoto, Susumu Hatta, Akira Kanagawa
Fusion Science and Technology | Volume 21 | Number 2 | March 1992 | Pages 977-982
Material; Storage and Processing | doi.org/10.13182/FST92-A29878
Articles are hosted by Taylor and Francis Online.
The present paper analyzes the separative performance of a “cryogenic-wall” thermal diffusion column of which the cold-wall temperature is lower than 77.35 K. Because the value of thermal diffusion factor αT for H2-HT mixture decreases in lower temperature region and is probably negative under ∼70 K, an estimated enhancement of the separation factor is not so large: the total separation factor (αβ)max of the column with rh = 0.015 cm, rc = 1.5 cm, Z = 150 cm and ΔT = 1200 K increases from ∼3.3×103( Tc = 77.35 K, Popt = ∼0.04 MPa) to ∼6.0×103( Tc = 30 K, Popt = ∼0.027 MPa) when the column is operated under the feed rate of 10 cm3(converted to the value of 0.1 MPa and 288.15 K)/min and the cut θ is 0.1.