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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
R. W. Ostensen, R. J. Lipinski
Nuclear Science and Engineering | Volume 79 | Number 1 | September 1981 | Pages 110-113
Technical Note | doi.org/10.13182/NSE81-A19046
Articles are hosted by Taylor and Francis Online.
A model for particle bed dryout based on the phenomenon of flooding is developed for particles greater than ∼1 mm in diameter. Dryout develops when vapor flow from boiling in the bed limits the influx of replenishing coolant. In the flooding model, the liquid-vapor counterflow is limited by the drag between the liquid and the vapor. In previous models, the counterflow is limited by the drag between the coolant and the bed particles. The flooding model predicts a dryout heat flux that depends on the square root of the diameter of the particles. Previous dryout models predict a dependence on the square of the diameter. The flooding model predicts significantly lower dryout heat fluxes for particle diameters in excess of ∼1 mm. These predictions agree well with experimental data.