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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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
Wyoming as a hub for the nuclear supply chain?
A 60-year-old Wyoming industrial machinery company has joined forces with nuclear innovator BWX Technologies to build and deploy 50-megawatt microreactors in America’s heartland over the coming years to provide carbon-free heat and power for industrial users.
Robert Zboray, Wilhelmus J. M. de Kruijf, Tim H. J. J. van der Hagen, Rizwan-uddin
Nuclear Technology | Volume 146 | Number 3 | June 2004 | Pages 244-256
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT04-A3503
Articles are hosted by Taylor and Francis Online.
The nonlinear dynamics of natural-circulation, boiling two-phase flows are investigated using a two-phase flow loop. Experiments have been carried out in the unstable operating region of the facility for various system pressures and for different frictions at the exit of the riser section. It appears that the boiling two-phase flow undergoes the well-known Feigenbaum scenario, the period-doubling route toward chaotic behavior. Evaluation of the recorded signals using nonlinear time series analysis methods indicates the occurrence of chaotic density-wave oscillations.