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Development of a Micro-Sampling System to Support Pyroprocess MCA

机译:开发微抽样系统,以支持烧毒灭菌MC&A

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Tracking the composition of salt as it moves through an electrochemical reprocessing facility is a challenging task because electrochemical material processing is done semi-continuously at elevated temperatures, while transfers involve discrete batches of used fuel or solids with adhered salts. Since salt is recycled as part of operations, it is desirable to obtain both accurate and timely measures of the chemical and isotopic compositions of the salt within the electrorefiner and through the other operations in the facility to fully close the material mass balance. Several technologies are under development at Argonne National Laboratory to measure the in-process salt composition. One technique is an automated micro-sample generator in combination with rapid chemical and isotopic analysis. Automated processing and analysis of large numbers of samples is made possible by the generation of micro-samples to allow analysis by on-line or at-line room temperature analytical equipment. Micro-sampling also enables quantitative measurements by radiation detectors that would otherwise be saturated by high activity. An advantage of micro-samples is that hundreds or thousands of discrete samples can be collected without affecting the process. Analyzing large numbers of samples permits averaging out of the random errors associated with sampling and measurement To quantify the statistical benefits of analyzing large numbers of samples, three high-throughput studies were completed using a low-cost XRF as the analysis tool. In the first study, a series of experiments was carried out to study the effects of droplet analysis time. The second study examined the effect of adjusting the total number of droplets analyzed. In the third study, salts with multiple fission-product surrogates were studied to evaluate the benefits gained in the deconvolution of multiple peaks and the associated calibration errors. Based on the success of these studies a high-throughput droplet generator that can be operated remotely and in tandem with a salt processing vessel has been designed and fabricated. Reducing error in this way improves quantification, improves confidence intervals, and can lower the limit of detection for a given analysis technique. The final product combines the best aspects of destructive analysis with the best aspects of non-destructive analysis.
机译:在通过电化学再处理设施移动时跟踪盐的组成是一个具有挑战性的任务,因为电化学材料加工在高温下半连续完成,而转移涉及离散批次的使用燃料或具有粘附盐的固体。由于盐作为作用的一部分再循环,因此希望获得电火舍内盐的化学和同位素组合物的准确和及时的测量,并通过设施中的其他操作来完全关闭材料质量平衡。在Argonne National实验室正在开发几种技术,以测量加工盐组合物。一种技术是一种自动微样器发生器,与快速的化学和同位素分析组合。通过产生微型样品可以实现大量样品的自动处理和分析,以允许在线或在线室温分析设备进行分析。微抽样还可以通过高活动饱和的辐射检测器来实现定量测量。微样品的优点是可以收集数百或数千个离散样本而不会影响该过程。分析大量样品允许平均与采样和测量相关的随机误差,以量化分析大量样品的统计效益,使用低成本XRF作为分析工具完成三种高通量研究。在第一研究中,进行了一系列实验以研究液滴分析时间的影响。第二种研究检测了调整分析的液滴总数的效果。在第三研究中,研究了具有多个裂变 - 产品替代物的盐,以评估多个峰的去卷积和相关校准误差中获得的益处。基于这些研究的成功,设计和制造了一种高通量液滴发生器,可以远程和盐处理容器进行串联操作。以这种方式还原误差可提高量化,提高置信区间,并且可以降低给定分析技术的检测极限。最终产品结合了具有无损分析的最佳方面的破坏性分析的最佳方面。

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