Microstructural analysis of TRISO particles using multi-scale X-ray computed tomography

Abstract TRISO particles, a composite nuclear fuel built up by ceramic and graphitic layers, have outstanding high temperature resistance. TRISO fuel is the key technology for High Temperature Reactors (HTRs) and the Generation IV Very High Temperature Reactor (VHTR) variant. TRISO offers unparalleled containment of fission products and is extremely robust during accident conditions. An understanding of the thermal performance and mechanical properties of TRISO fuel requires a detailed knowledge of pore sizes, their distribution and interconnectivity. Here 50 nm, nano-, and 1 μm resolution, micro-computed tomography (CT), have been used to quantify non-destructively porosity of a surrogate TRISO particle at the 0.3–10 μm and 3–100 μm scales respectively. This indicates that pore distributions can reliably be measured down to a size approximately 3 times the pixel size which is consistent with the segmentation process. Direct comparison with Scanning Electron Microscopy (SEM) sections indicates that destructive sectioning can introduce significant levels of coarse damage, especially in the pyrolytic carbon layers. Further comparative work is required to identify means of minimizing such damage for SEM studies. Finally since it is non-destructive, multi-scale time-lapse X-ray CT opens the possibility of intermittently tracking the degradation of TRISO structure under thermal cycles or radiation conditions in order to validate models of degradation such as kernel movement. X-ray CT in-situ experimentation of TRISO particles under load and temperature could also be used to understand the internal changes that occur in the particles under accident conditions.

[1]  B. Gorman,et al.  Microstructure of TRISO coated particles from the AGR-1 experiment: SiC grain size and grain boundary character , 2013 .

[2]  P J Withers,et al.  Region‐of‐interest tomography using filtered backprojection: assessing the practical limits , 2011, Journal of microscopy.

[3]  S. Advani,et al.  Influence of Void Shape, Void Volume and Matrix Anisotropy on Effective Thermal Conductivity of a Three-Phase Composite , 1996 .

[4]  M. Wagner-Löffler Amoeba behavior of UO/sub 2/ coated particle fuel , 1977 .

[5]  M. Rettenmayr,et al.  Melting and remelting phenomena , 2009 .

[6]  Woong Ki Kim,et al.  Nondestructive measurement of the coating thickness for simulated TRISO-coated fuel particles by using phase contrast X-ray radiography , 2008 .

[7]  E. López‐Honorato,et al.  Control of stoichiometry, microstructure, and mechanical properties in SiC coatings produced by fluidized bed chemical vapor deposition , 2008 .

[8]  Sung-Jin Song,et al.  Imaging and measuring methods for coating layer thickness of TRISO-coated fuel particles with high accuracy , 2013 .

[9]  Philip J. Withers,et al.  Image stitching strategies for tomographic imaging of large objects at high resolution at synchrotron sources , 2009 .

[10]  P. Withers,et al.  Quantitative X-ray tomography , 2014 .

[11]  Young-Woo Lee,et al.  Simulation of the Digital Image Processing Algorithm for the Coating Thickness Automatic Measurement of the TRISO-coated Fuel Particle , 2005, J. Inf. Process. Syst..