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Analysis and optimization of performance parameters of the 220Rn chamber in flow-field mode using computational fluid dynamics method

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摘要: The impact of the radiation dose produced by 222Rn/220Rn and its progeny on human health has garnered
increasing interest in the nuclear research field. The establishment of robust, regulatory, and competent 220Rn
chambers is crucial for accurately measuring radioactivity levels. However, studying the uniformity of the 220Rn
progeny through experimental methods is challenging, because measuring the concentration of 220Rn and its
progeny in multiple spatial locations simultaneously and in real time using experimental methods is difficult.
Therefore, achieving precise control of the concentration of 220Rn and its progeny as well as the reliable sampling
of the progeny pose significant challenges. To solve this problem, this study uses computational fluid dynamics
to obtain the flow-field data of the 220Rn chamber under different wind speeds and progeny-replenishment rates.
Qualitative analysis of the concentration distribution of the progeny and quantitative analysis of the progeny
concentration and uniformity of the progeny concentration are conducted. The research findings indicated
that the progeny-concentration level is primarily influenced by wind speed and the progeny-complement rate.
Wind speed also plays a crucial role in determining progeny-concentration uniformity, whereas the progeny-
complement rate has minimal impact on uniformity. To ensure the accuracy of 220Rn progeny-concentration
sampling, we propose a methodology for selecting an appropriate sampling area based on varying progeny
concentrations. This study holds immense importance for enhancing the regulation and measurement standards
of 220Rn and its progeny.

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[V1] 2024-06-23 16:04:46 ChinaXiv:202406.00355V1 下载全文
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