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Silicon Carbide (SiC) ceramic matrix composite (CMC) cladding is currentlybeing pursued as one of the leading candidates for accident-tolerant fuels. Toenable an improved understanding of SiC-SiC composite performance, thedevelopment of non-destructive evaluation techniques to assess critical defectsis needed. Three-dimensional (3D) X-ray imaging, also referred to as X-raycomputed tomography (CT), is a non-destructive, data-rich characterizationtechnique that can provide surface and subsurface spatial information. Thispaper discusses the design and implementation of a fully automatic workflow todetect and analyze SiC-SiC defects using image processing techniques on 3DX-ray images. The workflow consists of four processing blocks, including datapreparation, void/crack detection, visualization, and analysis. In this work,three SiC samples (two irradiated and one unirradiated) provided by GeneralAtomics are investigated. The irradiated samples were exposed in a way that wasexpected to induce cracking, and indeed, the automated workflow developed inthis work was able to successfully identify and characterize the crackformation in the irradiated samples while detecting no observed cracking in theunirradiated sample. These results demonstrate the value of automated XCT toolsto better understand the damage and damage propagation in SiC-SiC structuresfor nuclear applications.

Advanced Analytics on 3D X-ray Tomography of Irradiated Silicon Carbide Claddings