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Quantification of silicon carbide grain structure in TRISO fuel by BSE image analysis

机译:通过BSE图像分析定量Triso燃料中的碳化硅晶粒结构

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摘要

The grain structure of the silicon carbide (SiC) layer in tristructural-isotropic (TRISO) fuels has commonly been qualified in fuel specifications based on a qualitative comparison to visual standards to ensure undesirable microstructure are not produced. This approach is inherently dependent on subjective judgement and provides limited data for analysis or comparison. An alternative method to rapidly quantify (i.e., provide a numeric measure of) the grain structure of the SiC layer in TRISO fuels has been developed. This method relies on the identification of silicon carbide grain boundaries based on brightness variation in backscattered electron (BSE) images through the application of automated image processing algorithms. The speed with which the requisite BSE imaging and analysis may be completed enables the practical use of this method on an industrial scale as a part of qualifying TRISO fuel to meet a given specification on silicon carbide grain structure, which is an important parameter for TRISO fuel performance. The method is benchmarked by comparison to prior Electron-Backscattered Diffraction (EBSD) results for TRISO particles from the Advanced Gas Reactor (AGR) program. (c) 2020 Published by Elsevier B.V.
机译:基于与视觉标准的定性比较,碳化硅(Triso)燃料中的碳化硅(SiC)层的晶粒结构通常在燃料规格中符合燃料规格,以确保不产生不期望的微观结构。这种方法本身依赖于主观判断,并提供有限的分析或比较数据。已经开发了一种替代方法,以快速定量(即,提供数字测量值)三型燃料中SiC层的晶粒结构。该方法依赖于通过应用自动图像处理算法基于反向散射电子(BSE)图像的亮度变化的碳化硅晶界的识别。所需的BSE成像和分析可以完成的速度使得能够在工业规模上进行实际使用该方法作为符合符合碳化硅晶粒结构的给定规范的符合条件的Triso燃料的一部分,这是Triso燃料的重要参数表现。该方法通过与先进的气体反应器(AGR)程序的特异性颗粒的先前电子 - 背散射衍射(EBSD)进行比较,该方法是基准测试。 (c)2020由elsevier b.v发布。

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