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
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
North American construction is back—smaller and faster—at OPG’s Darlington
“The nuclear renaissance is real here,” said Ontario Power Generation’s Subo Sinnathamby on May 8, one year to the day after OPG secured a final investment decision to build the first of four planned BWRX-300 reactors at its Darlington nuclear power plant, and shortly after the new reactor’s foundation was lifted into place. “We got our license to construct in April and our [final investment decision] in May, and we’ve been off to the races since.”
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.