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首页> 外文会议>2011 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring >Acoustic Agglomeration of PM2.5 Enhanced by Additional Particles
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Acoustic Agglomeration of PM2.5 Enhanced by Additional Particles

机译：附加颗粒增强的PM2.5的声团聚

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摘要

The acoustic agglomeration model of suspendedPM2.5 subjected to a standing-wave sound field is established based on the direct simulation Monte Carlo (DSMC) method. The particle motion and agglomeration are numerically investigated, and the simulated result is compared with experiment to validate the agglomeration model and the algorithm. The results show that the dynamic behaviors of sub micron particles and micron particles under the effect of sound field are very different, and that the removal efficiency of PM2.5 by acoustic agglomeration can be greatly improved by adding large particles into the gas stream. In a typical case, thePM2.5 removal efficiency can be increased from 21.5% to47.4% with additional particles.
机译：基于直接模拟蒙特卡洛（DSMC）方法建立了悬浮波PM2.5在声波声场作用下的声团聚模型。对颗粒运动和团聚进行了数值研究，并将模拟结果与实验进行了比较，以验证团聚模型和算法。结果表明，亚微米颗粒和微米颗粒在声场作用下的动力学行为有很大不同，并且通过向气流中加入大颗粒可以大大提高声团聚对PM2.5的去除效率。在典型情况下，使用其他颗粒可以将PM2.5去除效率从21.5％提高到47.4％。

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