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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
X-energy receives federal tax credit for TRISO fuel facility
Advanced reactor company X-energy has been awarded $148.5 million in tax credits under the Inflation Reduction Act for construction of its TRISO-X fuel fabrication facility in Oak Ridge, Tenn.
J. Michael Doster, Jeremy M. Kauffman
Nuclear Science and Engineering | Volume 132 | Number 1 | May 1999 | Pages 90-104
Technical Paper | doi.org/10.13182/NSE99-A2051
Articles are hosted by Taylor and Francis Online.
Drift-flux models can be used to describe two-phase-flow systems when explicit representation of the relative phase motion is not required. In these models, relative phase velocity is described by flow-regime-dependent, semiempirical models. Numerical stability of the mixture drift-flux equations is examined for different semi-implicit time discretization schemes. Representative flow-regime-dependent drift-flux correlations are considered, and analytic stability limits are derived based on these correlations. The analytic stability limits are verified by numerical experiments run in the vicinity of the predicted stable boundaries. It is shown that the stability limits are strong functions of the time-level specification and functional form chosen for the relative phase velocity. It is also shown that the mixture Courant limit normally associated with these methods is insufficient for ensuring a stable numerical scheme.