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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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.
J. F. Marchaterre, M. Petrick
Nuclear Science and Engineering | Volume 7 | Number 6 | June 1960 | Pages 525-532
Technical Paper | doi.org/10.13182/NSE60-A25761
Articles are hosted by Taylor and Francis Online.
The results of an extensive study of the relative velocity of two-phase mixtures at ANL are presented. The parameter ranges studied are pressure 150–2000 psi, mixture quality 0–0.25, superficial liquid velocity 0.5–8 ft/sec, and flow channel equivalent diameters of 0.4–2 in. The data were correlated by means of the velocity ratio (steam velocity/liquid velocity) which was calculated from the measured steam volume fraction. The steam volume fraction measurements were made by a radiation attenuation technique and the data were obtained from both adiabatic and nonadiabatic systems. The data show that the velocity ratio is affected primarily by pressure, mixture quality, superficial velocity, and to a lesser degree by the flow channel geometry. The data are also compared with the data of other investigators for the vertical up-flow of steam-water mixtures. Working curves for the prediction of the velocity ratio are then presented which are adequate for system analyses. The working curves are given for 150, 250, 400, and 600 psi. A method of extrapolating the data for predicting working curves in the high-pressure range is suggested.