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Advances in Automated QA/QC for TRISO Fuel Particle Production

机译:自动化QA / QC的研究进展,用于Triso燃料颗粒生产

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Fuel in most Generation IV gas cooled reactors (GCR) typically encompasses billions of the TRISO particles. Present day QA/QC methods, done manually and in many cases destructively, cannot economically test a statistically significant fraction of the large number of the individual fuel particles required. Fully automated inspection technologies are essential to enable economical TRISO fuel particle production. A combination of in-line nondestructive evaluation (NDE) measurements employing electromagnetic induction, capacitance and digital optical imaging analysis is currently under investigation and preliminary data indicate the potential for meeting the demands of this application. To calibrate high-speed NDE methods, surrogate fuel particle samples are being coated with layers containing a variety of defects that are known to degrade fuel performance and these are being characterized using high-resolution CT and digital radiographic images. The feasibility of additional NDE measurement technologies using ultrasound is being evaluated for on-process coating control. An effort is underway to determine the feasibility of using the measurement data obtained with the new in-line nondestructive inspection techniques in a Quality Index that can be used to make quantitative decisions about the acceptability of the fuel particles.
机译:大多数一代IV气体冷却反应器(GCR)中的燃料通常包括数十亿的三胞粒子。现今的QA / QC方法,手动和在许多情况下破坏性地,无法经济地测试所需的大量单个燃料颗粒的统计上大部分。全自动检测技术对于实现经济的Triso燃料粒子生产至关重要。采用电磁诱导,电容和数字光学成像分析的在线无损评估(NDE)测量的组合目前正在调查和初步数据中表明满足本申请需求的可能性。为了校准高速NDE方法,替代燃料颗粒样品正在涂覆含有各种缺陷的层,该缺陷已知可降低燃料性能,并且这些是使用高分辨率CT和数字射线图像的表征。正在评估使用超声波的额外NDE测量技术的可行性,用于工艺涂层控制。正在进行努力来确定使用新的在线非破坏性检查技术中获得的测量数据的可行性,该测量数据可以用于对燃料颗粒的可接受性进行定量决定。

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