Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7967647 | Journal of Nuclear Materials | 2014 | 7 Pages |
Abstract
Low-enriched uranium (LEU) fuel plates for high power materials test reactors (MTR) are composed of nominally spherical uranium-molybdenum (U-Mo) particles within an aluminum matrix. Fresh U-Mo particles typically range between 10 and 100 μm in diameter, with particle volume fractions up to 50%. As the fuel ages, reaction-diffusion processes cause the formation and growth of interaction layers that surround the fuel particles. The growth rate depends upon the temperature and radiation environment. The cellular automaton algorithm described in this paper can synthesize realistic random fuel-particle structures and simulate the growth of the intermetallic interaction layers. Examples in the present paper pack approximately 1000 particles into three-dimensional rectangular fuel structures that are approximately 1 mm on each side. The computational approach is designed to yield synthetic microstructures consistent with images from actual fuel plates and is validated by comparison with empirical data on actual fuel plates.
Related Topics
Physical Sciences and Engineering
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Nuclear Energy and Engineering
Authors
Saleem S. Drera, Gerard L. Hofman, Robert J. Kee, Jeffrey C. King,