Method for measurement of TRISO kernel and layer volumes by X-ray computed tomography

Helmreich, Grant W.; Richardson, Dylan; Venkatakrishnan, Singanallur; Ziabari, Amirkoushyar

doi:10.1016/j.jnucmat.2020.152255

Cited by 15 publications

(7 citation statements)

References 9 publications

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“…However, this effect is expected to be relatively small compared with the effect of fission heat changes caused by fuel burnup. Sensitivity studies to determine this effect on performance are outside the scope of this report, though placement of the particles can be measured by x-ray computed tomography and is included in as-built sensitivity analyses prior to irradiation [17].…”

Section: Compact Geometrymentioning

confidence: 99%

Analysis and Design for Irradiation of High Power TRISO Fuel Compact Specimens in HFIR

Gallagher¹,

Petrie²,

Zane³

et al. 2021

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Section: Compact Geometrymentioning

confidence: 99%

Analysis and Design for Irradiation of High Power TRISO Fuel Compact Specimens in HFIR

Gallagher¹,

Petrie²,

Zane³

et al. 2021

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“…An example of a single tomograph through the midsection of a particle is given in Figure 5. Each tomographic dataset was analyzed to extract quantitative parameters for layer thicknesses and curvatures using previously developed image analysis software [1]. Parameters extracted for each particle included the radius of the kernel and thickness of each of the four coating layers at 5,000 equidistant points around the particle, as well as the local gaussian curvature of the kernel and four coating layers measured at 500 equidistant points around the particle.…”

Section: X-ray Tomography Of Single-particle Compactsmentioning

confidence: 99%

“…Thus, digital image analysis of XCT images may be used to segregate geometric features provided that they have a sufficient degree of variation in x-ray transmission. This method was successfully applied to the relatively complex geometry of as-fabricated and irradiated tristructural isotropic (TRISO) particles [1]. Because this characterization method is nondestructive, it can be applied to the same samples at multiple points (e.g., before and after irradiation).…”

mentioning

confidence: 99%

Fabrication and Characterization of Single-Particle Compacts

Helmreich¹,

Gerczak²,

Kercher³

et al. 2021

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“…Then, the 3D reconstruction process constructs 3D images in a composed stack of material cross-section 2D radiographs. These high-resolution 3D models are then used to explore the sample's architecture and microstructure, allowing for better determination of the sample's condition and an improved understanding of how the material performs [13][14][15]. Coupled with in situ micro-XCT, Croom et al investigated the three-dimensional damage and stress redistribution mechanisms of braided SiC-SiC composites [16].…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale Characterization of Porosity and Cracks in Silicon Carbide Cladding after Transient Reactor Test Facility Irradiation

Xu,

Yao,

et al. 2023

Energies

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Silicon carbide (SiC) ceramic matrix composite (CMC) cladding is currently being pursued as one of the leading candidates for accident-tolerant fuel (ATF) cladding for light water reactor applications. The morphology of fabrication defects, including the size and shape of voids, is one of the key challenges that impacts cladding performance and guarantees reactor safety. Therefore, quantification of defects’ size, location, distribution, and leak paths is critical to determining SiC CMC in-core performance. This research aims to provide quantitative insight into the defect’s distribution under multi-scale characterization at different length scales before and after different Transient Reactor Test Facility (TREAT) irradiation tests. A non-destructive multi-scale evaluation of irradiated SiC will help to assess critical microstructural defects from production and/or experimental testing to better understand and predict overall cladding performance. X-ray computed tomography (XCT), a non-destructive, data-rich characterization technique, is combined with lower length scale electronic microscopic characterization, which provides microscale morphology and structural characterization. This paper discusses a fully automatic workflow to detect and analyze SiC-SiC defects using image processing techniques on 3D X-ray images. Following the XCT data analysis, advanced characterizations from focused ion beam (FIB) and transmission electron microscopy (TEM) were conducted to verify the findings from the XCT data, especially quantitative results from local nano-scale TEM 3D tomography data, which were utilized to complement the 3D XCT results. In this work, three SiC samples (two irradiated and one unirradiated) provided by General Atomics are investigated. The irradiated samples were irradiated in a way that was expected to induce cracking, and indeed, the automated workflow developed in this work was able to successfully identify and characterize the defects formation in the irradiated samples while detecting no observed cracking in the unirradiated sample. These results demonstrate the value of automated XCT tools to better understand the damage and damage propagation in SiC-SiC structures for nuclear applications.

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Method for measurement of TRISO kernel and layer volumes by X-ray computed tomography

Cited by 15 publications

References 9 publications

Analysis and Design for Irradiation of High Power TRISO Fuel Compact Specimens in HFIR

Analysis and Design for Irradiation of High Power TRISO Fuel Compact Specimens in HFIR

Fabrication and Characterization of Single-Particle Compacts

Multi-Scale Characterization of Porosity and Cracks in Silicon Carbide Cladding after Transient Reactor Test Facility Irradiation

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