| 引用本文: | 许 诺,吴世青,向文婷.随机纤维过滤器捕捉气溶胶颗粒特性研究(J/M/D/N,J:杂志，M：书，D：论文，N：报纸).期刊名称,2025，42（5）：63-71 |
| CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435 |
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| 摘要: |
| 目的 气溶胶作为 COVID-19(Coronavirus Disease 2019)的主要载体,使用随机纤维过滤器可以有效阻隔病
毒传播。 但非织造随机纤维过滤器由于结构复杂,难以建立符合真实情况的三维模型,从而无法对其进行模拟分
析来指导过滤器的设计与生产。 方法 基于随机算法建立不同参数的纤维过滤器三维模型,对比传统规则模型,采
用多种经验计算式验证该方法的优势和有效性,分析随机纤维过滤器在特定工况下对气溶胶颗粒物的过滤性能,
使用欧拉-拉格朗日离散相模型对随机纤维过滤器的压力损失和气溶胶颗粒捕集效率进行模拟计算。 结果 仿真
试验结果表明:流体速度为 0. 04 m / s 和 0. 112 m / s 的纤维过滤器对所选气溶胶颗粒物具有较为稳定的过滤效率,
处于 84. 43% ~95. 28%之间;流场压力损失呈分层现象,在较慢的流体速度下可以获得更为良好的过滤性能。 结论
该方法所建随机排列的纤维集合体模型对比传统方法更接近真实的纤维材料,为理解和改进过滤技术提供数据与
结论,有助于设计更好的防护措施,阻碍病毒传播。 |
| 关键词: 气溶胶 空气过滤 随机建模 数值模拟 |
| DOI： |
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| Characterization of Aerosol Particles Captured by Random Fiber Filters |
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XU Nuo WU Shiqing XIANG Wenting
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School of Mechanical Engineering University of Shanghai for Science and Technology Shanghai 200093 China
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| Abstract: |
| Objective Aerosols act as the main carrier of COVID-19 Coronavirus Disease 2019 and the use of random
fiber filters can effectively block virus transmission. However due to the complex structure of non-woven random fiber
filters it is difficult to establish a three-dimensional model that conforms to the real situation. As a result it is impossible
to conduct simulation analysis on them to guide the design and production of the filters. Methods A three-dimensional
model of fiber filters with different parameters was established based on random algorithms. Comparative analysis with
traditional rule-based models was conducted using various empirical formulas to validate the advantages and effectiveness
of this method. The filtration performance of random fiber filters on aerosol particles under specific conditions was
analyzed and simulation calculations of pressure loss and aerosol particle capture efficiency were performed using the
Euler-Lagrange discrete phase model. Results Simulation experiments showed that fiber filters at fluid velocities of 0. 04
m / s and 0. 112 m / s exhibited stable filtration efficiency for selected aerosol particles ranging from 84. 43% to 95. 28%.
Pressure loss in the flow field exhibited a stratified phenomenon with better filtration performance achieved at slower fluid
velocities. Conclusion The randomly arranged fiber aggregate model constructed by this method is closer to real fiber
materials compared with traditional methods. It provides data and conclusions for understanding and improving filtration
technology facilitating the design of better protective measures to prevent virus transmission. |
| Key words: aerosol air filtration random modeling numerical simulation |
