ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jul 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
August 2026
Nuclear Technology
July 2026
Fusion Science and Technology
Latest News
The deadline arrives: Checking in on the Reactor Pilot Program
On May 23, 2025, President Trump signed Executive Order 14301, “Reforming Nuclear Reactor Testing at the DOE,” which instructed the Department of Energy to create a Reactor Pilot Program (RPP)—a new system in which companies could pursue DOE authorization to build and test their first-of-a-kind nuclear technologies. EO 14301 set an ambitious goal for that program: three reactors achieving criticality by July 4, 2026.
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.