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
Deployable Energy achieves criticality at INL
Ahead of the July 4 deadline set by President Trump in Executive Order 14301, the nuclear community has been following the developments of the Department of Energy’s Reactor Pilot Program, in which companies have been pursuing DOE authorization to build and test their first-of-a-kind nuclear technologies. The EO set an ambitious goal of three reactors achieving criticality by July 4, 2026.
Jon D. McWhirter, Michael E. Crawford, Dale E. Klein
Fusion Science and Technology | Volume 34 | Number 3 | November 1998 | Pages 187-197
Technical Paper | doi.org/10.13182/FST98-A63
Articles are hosted by Taylor and Francis Online.
Experimental data are presented for the pressure drop of a flowing conducting fluid within a packed bed of spheres through a transverse magnetic field. Pertinent background information is presented about flows in porous media followed by relevant details of the experiment apparatus and equipment. The data are presented and discussed and then compared with the predictions from the previously developed analytical model. It is found that good agreement exists between the data when plotted in dimensionless form. As with the other equations for fluid flow in porous media, the analytical forms specify behavior to within an experimentally determined constant. A new constant, the Sanders constant, contained within the equation for the resistance ratio, is proposed. The experiment data are compared with the analytical model, and the best value of the Sanders constant is estimated.