燃烧超细颗粒声波团聚的谱分布数值模拟

在简要介绍声波团聚超细颗粒物的动力学机理的基础上，利用区域算法求解超细颗粒声波团聚的动力学方程(GDE)，数值模拟了声波团聚前后的超细颗粒的谱分布变化，并同相关实验数据和数值算法进行了比较和分析．区域算法结果和实验数据以及数值解之间吻合较好，并且利用该算法研究了颗粒质量浓度、声波频率和声波强度对超细颗粒团聚效果的影响，结果表明颗粒质量浓度和声强的增加均有利于颗粒的团聚，而声波频率则存在一个最佳值．

Spectrum Evolution of Combustion Ultrafine Particles Acoustic Agglomeration Simulated by Numerical Algorithm

Ultrafine particles acoustic agglomeration (AA) technology can improve dust removal efficiency and reduce ultrafine particles emissions and environmental pollution. The paper beging with a brief introduction to the dynamic mechanism of AA of ultrafine particles, then the dynamical equation of ultrafine particles aloustic agglomeration was solved with sectional algorithm(SA). The spectrum evolution of ultrafine particles was numerically simulated, and its results were compared with experimental data and other related numerical algorithm results. The SA results fit both the experimental data and the numerical results well. In addition, the SA was applied to study the effects on the result of ultrafine particles AA with parameters such as particle mass concentration, sound frequencies and sound pressure level. It was found that the increase of particle mass concentration and sound pressure level can improve AA, and there was an optimal value for sound frequency.