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Qualification and Quantification of Porosity at the Top of the Fuel Pins in Metallic Fuels Using Image Processing

Journal Article · · Energies
DOI:https://doi.org/10.3390/en17091990· OSTI ID:2340212

Approximately 130,000 metal fuel pins were irradiated in the Experimental Breeder Reactor II (EBR-II) during its 30 years of operation to develop and characterize existing and prospective fuels. For many of the metal fuel irradiation experiments, neutron radiography imaging was performed to characterize fuel behavior, such as fuel axial expansion. While several fuel expansion results obtained from neutron radiography imaging have been published, the analysis of neutron radiography for the purpose of describing statistical properties of porous matter formed on top of the fuel pins, also referred to as fluff in previous publications, is significantly less represented in the literature with just a single paper so far. This study aims to validate and augment results reported in previous publications using automated image processing. The paper describes the statistical properties of the porous matter in terms of nine parameters derived from radiography images and correlates those parameters with such fuel properties as composition, expansion, temperature, and burnup. The reported results are based on 1097 fuel pins of eight different fuel compositions. For three major fuel types, U-10Zr, U-8Pu-10Zr, and U-19Pu-10Zr, a clear negative correlation is found between the Pu content and five parameters describing the amount of porous matter generated. The parameters describing granularity properties, however, showed either negative correlation or nonlinear dependency from fuel composition. The parameters describing the amount showed a positive correlation with fuel axial expansion, while granularity parameters showed a negative correlation with axial expansion. The dependency on cladding temperature was found to be weak. A positive correlation is demonstrated for volume parameters and fuel burnup. In general, reported results confirm and validate findings published in previous studies using a much larger number of pins and automated processing techniques, which easily lend themselves to reproducibility, thus avoiding subjective bias.

Research Organization:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Organization:
USDOE; USDOE Laboratory Directed Research and Development (LDRD) Program
Grant/Contract Number:
AC07-05ID14517
Other Award/Contract Number:
LDRD 21A1050-006FP
OSTI ID:
2340212
Alternate ID(s):
OSTI ID: 2511197
Report Number(s):
INL/JOU--23-73403-Rev002; PII: en17091990
Journal Information:
Energies, Journal Name: Energies Journal Issue: 9 Vol. 17; ISSN 1996-1073; ISSN ENERGA
Publisher:
MDPI AGCopyright Statement
Country of Publication:
Switzerland
Language:
English

References (15)

Swelling behavior of U-Pu-Zr fuel journal February 1990
Performance of HT9 clad metallic fuel at high temperature journal September 1993
Metallic fast reactor fuels journal January 1997
Fuels for sodium-cooled fast reactors: US perspective journal September 2007
An approach to fuel development and qualification journal September 2007
Full-length U–xPu–10Zr (x=0, 8, 19wt.%) fast reactor fuel test in FFTF journal August 2012
Performance of low smeared density sodium-cooled fast reactor metal fuel journal October 2015
Investigation of fuel microstructure at the top of a metallic fuel pin after a reactor overpower transient journal February 2021
Automatic information extraction from neutron radiography imaging to estimate axial fuel expansion in EBR-II journal December 2021
Investigation of constituent redistribution in U-Pu-Zr fuels and its dependence on varying Zr content journal December 2021
An analysis of fluff formation in metallic fuel via data analyzes from EBR-II experiments and BISON fuel code modeling journal August 2022
Characterization of a Neutron Beam Following Reconfiguration of the Neutron Radiography Reactor (NRAD) Core and Addition of New Fuel Elements journal February 2016
Modeling constituent redistribution in U–Pu–Zr metallic fuel using the advanced fuel performance code BISON journal May 2015
The connected-component labeling problem: A review of state-of-the-art algorithms journal October 2017
A Threshold Selection Method from Gray-Level Histograms journal January 1979

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