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Division Spotlight
Thermal Hydraulics
The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
Meeting Spotlight
2027 ANS Winter Conference and Expo
October 31–November 4, 2027
Washington, DC|The Westin Washington, DC 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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Disney World should have gone nuclear
There is extra significance to the American Nuclear Society holding its annual meeting in Orlando, Florida, this past week. That’s because in 1967, the state of Florida passed a law allowing Disney World to build a nuclear power plant.
Jon D. McWhirter, Michael E. Crawford, Dale E. Klein, Thomas L. Sanders
Fusion Science and Technology | Volume 33 | Number 1 | January 1998 | Pages 22-30
Technical Paper | doi.org/10.13182/FST98-A12
Articles are hosted by Taylor and Francis Online.
An analytical model for magnetohydrodynamic flow in a porous medium comprised of a packed bed of uniform spheres is developed. A rectangular geometry only is considered. Two distinct cases are studied: an infinite packed bed and a finite packed bed including wall effect. The wall effect is modeled by employing a two-zone porosity model, with a higher porosity wall region inserted between the solid wall and the lower porosity core region. The effect of the conductivity of the packed bed is accounted for by analogy with Hartmann flow in a duct with an external load. A parametric analysis is performed with the completed model to assess the effects of various factors upon the model results.