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首页> 外文期刊>Nuclear Instruments & Methods in Physics Research >Methodology for using prompt gamma activation analysis to measure the binary diffusion coefficient of a gas in a porous medium
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Methodology for using prompt gamma activation analysis to measure the binary diffusion coefficient of a gas in a porous medium

机译:使用快速伽马活化分析来测量气体在多孔介质中的二元扩散系数的方法

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Diffusion plays a critical role in determining the rate at which gases migrate through porous systems. Accurate estimates of diffusion coefficients are essential if gas transport is to be accurately modeled and better techniques are needed that can be used to measure these coefficients non-invasively. Here we present a novel method for using prompt gamma activation analysis to determine the binary diffusion coefficients of a gas in a porous system. Argon diffusion experiments were conducted in a 1 m long, 10 cm diameter, horizontal column packed with a SiO_2 sand. The temporal variation of argon concentration within the system was measured using prompt gamma activation analysis. The binary diffusion coefficient was obtained by comparing the experimental data with the predictions from a numerical model in which the diffusion coefficient was varied until the sum of square errors between experiment and model data was minimized. Predictions of argon concentration using the optimal diffusivity fit experimental measurements with an R~2 of 0.983.
机译:扩散在确定气体通过多孔系统迁移的速率方面起着至关重要的作用。如果要对气体传输进行精确建模,并且需要更好的技术来非侵入性地测量这些系数,那么扩散系数的准确估算至关重要。在这里,我们提出了一种使用快速伽马活化分析来确定多孔系统中气体的二元扩散系数的新颖方法。在填充有SiO_2砂的1 m长,直径10 cm的水平柱中进行了氩气扩散实验。使用及时的γ活化分析来测量系统中氩气浓度的时间变化。通过将实验数据与数值模型的预测值进行比较,获得二元扩散系数,在该数值模型中,扩散系数一直变化到最小化实验和模型数据之间的平方误差之和。使用最佳扩散率预测氩气浓度可拟合实验测量值,R〜2为0.983。

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    Department of Mechanical Engineering, The University of Texas at Austin, TX 78715, United States;

    Department of Mechanical Engineering, The University of Texas at Austin, TX 78715, United States;

    Department of Mechanical Engineering, The University of Texas at Austin, TX 78715, United States;

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