Developing a reliable approach to estimate the stoichiometric ratio of O/U in UO2 pellets using MCNP-5 and artificial intelligence
Uranium dioxied is used as a nuclear fuel. Depending on the temperature and oxygen partial pressure, it is incredibly versatile and can accept a wide variety of stoichiometry. Many methods are used to estimate the non-stoichiometric O/U ratio such as the coulometric titration, gravimetric and voltam...
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Published in | Nuclear technology & radiation protection Vol. 37; no. 4; pp. 302 - 307 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Belgrade
Vinca Institute of Nuclear Sciences
01.01.2022
VINCA Institute of Nuclear Sciences |
Subjects | |
Online Access | Get full text |
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Summary: | Uranium dioxied is used as a nuclear fuel. Depending on the temperature and
oxygen partial pressure, it is incredibly versatile and can accept a wide
variety of stoichiometry. Many methods are used to estimate the
non-stoichiometric O/U ratio such as the coulometric titration, gravimetric
and voltammetric methods. These methods have some disadvantages and may be
time and cost-consuming. This work develops an approach to determine the
stoichiometric ratio by using MCNP-5 code and hyper pure germanium detector
to estimate the count rate at 185.7 keV for UO2 pellets. The studied
pellets are proposed to have 235U mass content (3 %, 4 %, and 5 %) and 1 cm
away from the detector. The mass of the oxide within the pellets is 7.8995
grams. The relation between volume and density has been studied during
different steps in which temperature increases. Finally, a reliable model is
established to describe the process of converting green pellets to sintered
pellets. The model is supported by employing artificial intelligence to
predict some features and the overall correlation equals 0.99929. |
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ISSN: | 1451-3994 1452-8185 |
DOI: | 10.2298/NTRP2204302S |