A Simplified Mechanistic Approach for Modeling Thermal Conductivity of Metallic Nuclear Fuels

2019 ◽  
Author(s):  
T. Pavlov
Keyword(s):  
Thermal Conductivity ◽  
Nuclear Fuels ◽  
Mechanistic Approach ◽  
Metallic Nuclear Fuels

Study on Radial Temperature Distribution of Aluminum Dispersed Nuclear Fuels: U3O8-Al, U3Si2-Al, and UN-Al

2018 ◽  
Vol 4 (3) ◽  
Author(s):  
Jayangani I. Ranasinghe ◽  
Ericmoore Jossou ◽  
Linu Malakkal ◽  
Barbara Szpunar ◽  
Jerzy A. Szpunar
Keyword(s):  
Thermal Conductivity ◽  
Heat Conduction ◽  
Steady State ◽  
Temperature Gradient ◽  
Heat Conduction Equation ◽  
Conduction Equation ◽  
Temperature Profiles ◽  
Nuclear Fuels ◽  
State Heat ◽  
Steady State Heat

The understanding of the radial distribution of temperature in a fuel pellet, under normal operation and accident conditions, is important for a safe operation of a nuclear reactor. Therefore, in this study, we have solved the steady-state heat conduction equation, to analyze the temperature profiles of a 12 mm diameter cylindrical dispersed nuclear fuels of U3O8-Al, U3Si2-Al, and UN-Al operating at 597 °C. Moreover, we have also derived the thermal conductivity correlations as a function of temperature for U3Si2, uranium mononitride (UN), and Al. To evaluate the thermal conductivity correlations of U3Si2, UN, and Al, we have used density functional theory (DFT) as incorporated in the Quantum ESPRESSO (QE) along with other codes such as Phonopy, ShengBTE, EPW (electron-phonon coupling adopting Wannier functions), and BoltzTraP (Boltzmann transport properties). However, for U3O8, we utilized the thermal conductivity correlation proposed by Pillai et al. Furthermore, the effective thermal conductivity of dispersed fuels with 5, 10, 15, 30, and 50 vol %, respectively of dispersed fuel particle densities over the temperature range of 27–627 °C was evaluated by Bruggman model. Additionally, the temperature profiles and temperature gradient profiles of the dispersed fuels were evaluated by solving the steady-state heat conduction equation by using Maple code. This study not only predicts a reduction in the centerline temperature and temperature gradient in dispersed fuels but also reveals the maximum concentration of fissile material (U3O8, U3Si2, and UN) that can be incorporated in the Al matrix without the centerline melting. Furthermore, these predictions enable the experimental scientists in selecting an appropriate dispersion fuel with a lower risk of fuel melting and fuel cracking.

The Application of CALPHAD Calculations to Uranium-Based Metallic Nuclear Fuels

2018 ◽  
Vol 39 (5) ◽  
pp. 714-723 ◽  
Author(s):  
Y. Lu ◽  
Q. Q. Tang ◽  
C. P. Wang ◽  
Z. S. Li ◽  
Y. H. Guo ◽  
...  
Keyword(s):  
Nuclear Fuels ◽  
Metallic Nuclear Fuels

Thermal Transport in Defective Actinide Oxides

2018 ◽  
Author(s):  
Alex Resnick ◽  
Katherine Mitchell ◽  
Jungkyu Park ◽  
Hannah Maier ◽  
Eduardo B. Farfán ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Oxygen Vacancy ◽  
Uranium Dioxide ◽  
Thermal Transport ◽  
Dynamics Simulation ◽  
Nuclear Fuels ◽  
Plutonium Dioxide ◽  
Vacancy Defects ◽  
Actinide Oxides ◽  
Substitutional Defects

The present study employs a molecular dynamics simulation to explore thermal transport in various oxide nuclear fuels with defects such as uranium oxide and plutonium oxide. In particular, the effect of vacancy and substitutional defects on the thermal transport in actinide oxides are investigated. It is found that the thermal conductivities of these oxide nuclear fuels are significantly reduced by the presence of vacancy defects. In spite of their small size, oxygen vacancy is shown to alter the thermal conductivity of oxide fuels greatly; 0.1% oxygen vacancy reduces the thermal conductivity of plutonium dioxide by more than 10% when the number of unit cell in length is 100. It was shown that the missing of larger atoms alters the thermal conductivity of actinide oxides more significantly. For the case of uranium dioxide, 0.1% uranium vacancies decrease the thermal conductivity by 24.6% while the same concentration of oxygen vacancies decreases the thermal conductivity of uranium dioxide by 19.4%. However, the uranium substitutional defects are shown to have a minimal effect on the thermal conductivity of plutonium dioxide because of the small change in the atomic mass.

scholarly journals The porosity dependence of the thermal conductivity for nuclear fuels

1973 ◽  
Vol 46 (3) ◽  
pp. 253-258 ◽  
Author(s):  
G. Ondracek ◽  
B. Schulz
Keyword(s):  
Thermal Conductivity ◽  
Nuclear Fuels ◽  
Porosity Dependence

Determination of trace impurities in advanced metallic nuclear fuels by inductively coupled plasma time-of-flight mass spectrometry (ICP-TOF-MS)

2016 ◽  
Vol 31 (7) ◽  
pp. 1480-1489 ◽  
Author(s):  
Abhijit Saha ◽  
Sadhan Bijoy Deb ◽  
Manoj Kumar Saxena
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Nuclear Fuels ◽  
Trace Impurities ◽  
Analytical Methodology ◽  
Inductively Coupled ◽  
Flight Mass Spectrometry ◽  
Plasma Mass Spectrometry ◽  
Metallic Nuclear Fuels

Development of a common analytical methodology for the determination of trace impurities in U–Ti, U–Zr and U–Mo alloy fuels by inductively coupled plasma mass spectrometry.

scholarly journals A machine learning approach to thermal conductivity modeling: A case study on irradiated uranium-molybdenum nuclear fuels

2019 ◽  
Vol 161 ◽  
pp. 107-118 ◽  
Author(s):  
Elizabeth J. Kautz ◽  
Alexander R. Hagen ◽  
Jesse M. Johns ◽  
Douglas E. Burkes
Keyword(s):  
Machine Learning ◽  
Thermal Conductivity ◽  
Learning Approach ◽  
Nuclear Fuels ◽  
Machine Learning Approach ◽  
Conductivity Modeling

Investigation of O/M ratio effect on thermal conductivity of oxide nuclear fuels by non-equilibrium molecular dynamics calculation

2013 ◽  
Vol 440 (1-3) ◽  
pp. 580-585 ◽  
Author(s):  
Taku Matsumoto ◽  
Tatsumi Arima ◽  
Yaohiro Inagaki ◽  
Kazuya Idemitsu ◽  
Masato Kato ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Molecular Dynamics ◽  
Nuclear Fuels ◽  
Ratio Effect ◽  
Non Equilibrium Molecular Dynamics ◽  
Dynamics Calculation ◽  
Non Equilibrium

scholarly journals THERMAL CONDUCTIVITY DATA FOR SOME NUCLEAR FUELS

1952 ◽  
Author(s):  
L R McCreight
Keyword(s):  
Thermal Conductivity ◽  
Nuclear Fuels ◽  
Conductivity Data ◽  
Thermal Conductivity Data
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