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放射性气溶胶自适应分离设计与特性研究

Design and characterization of adaptive separation of radioactive aerosol
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摘要 研究针对不同颗粒物密度环境下人工放射性气溶胶氡的分离与监测,提出了一种基于虚拟冲击原理的环境自适应分离技术。基于虚拟冲击原理,建立亚微米虚拟冲击器二维模型。结合流体动力学,数值计算虚拟冲击器在不同颗粒物密度、结构和流量条件下内流道分离效率与壁面损失,阐明多因素对分离效率的影响规律,揭示亚微米虚拟冲击器在不同颗粒物密度下对氡气溶胶的自适应分离规律。结果表明,亚微米虚拟冲击器对氡气溶胶的分离曲线陡度较好,具有良好的分离性能与较低的壁面损失;颗粒物密度与流量因素对分离效率的影响大于结构因素;亚微米虚拟冲击器自适应流量调节可实现不同颗粒物密度下氡气溶胶的高效分离,颗粒物密度为2200 kg/m 3时亚微米虚拟冲击器较自适应前分离效率提升18.35%且具有较低的壁面损失。 This paper studies the separation and monitoring of artificial radioactive aerosol radon under different particle density environment and proposes an environmental adaptive separation technology based on virtual shock principle.Based on the principle of virtual impact,a two-dimensional model of submicron virtual impactor is built.Then,combined with fluid dynamics,the separation efficiency and wall loss of the virtual impactor under different particle density,structure and flow are numerically calculated to clarify the multi-factor influence rule on the separation efficiency.The adaptive separation rule of radon aerosol is revealed by the submicron virtual impactor under different particle density.Our results show the submicron virtual impactor exhibits good separation curve steepness for radon aerosol,good separation performance and low wall loss.The effect of particle density and flow on separation efficiency is greater than that of structure.The adaptive flow regulation of the submicron virtual impactor realizes efficient separation of radon aerosol under different particle densities.At a particle density of 2200 kg/m 3,the separation efficiency of the submicron virtual impactor is 18.35%higher than that before the adaptive one,and the wall loss is lower.
作者 何泽银 黄思成 孙世政 郑天成 HE Zeyin;HUANG Sicheng;SUN Shizheng;ZHENG Tiancheng(School of Mechanical and Electrical Engineering,Chongqing Jiaotong University,Chongqing 400074,China)
出处 《重庆理工大学学报(自然科学)》 CAS 北大核心 2024年第6期127-132,共6页 Journal of Chongqing University of Technology:Natural Science
关键词 虚拟冲击器 环境自适应 数值模拟 分离效率 virtual impactor environment self-adaptation numerical simulation separation efficiency
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