An adaptable direct simulation Monte Carlo method for simulating acoustic agglomeration of solid particles
An adaptable direct simulation Monte Carlo method for simulating acoustic agglomeration of solid particles
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DOI：
10.1016/j.ces.2021.117298
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发表时间：
2021-11
影响因子：
4.7
通讯作者：
Zhihao Wu;F. Fan;Jinpei Yan;Houtao Chen;Xiaohong Hu;M. Su
中科院分区：
文献类型：
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作者：
Zhihao Wu;F. Fan;Jinpei Yan;Houtao Chen;Xiaohong Hu;M. Su
提出了一种自适应的直接模拟蒙特卡罗(DSMC)方法来模拟固体颗粒的声学团聚。在一定的操作条件下，根据实验数据对该方法进行了验证。在此基础上，数值研究了颗粒尺寸分布、团聚效率和团聚行为随时间的演化规律。还考察了恢复系数对声学团聚性能的影响。结果表明，声团聚的发生使小颗粒数浓度显着降低，大颗粒数浓度略有增加。此外，恢复系数越高，声学团聚性能越差。该研究验证了该方法在模拟声学团聚方面的能力，为研究分散的气固两相流动提供了一种基本途径。
An adaptable direct simulation Monte Carlo (DSMC) method that settles the challenge of coexistence of agglomeration and rebound as a consequence of inter-particle collisions was developed to simulate acoustic agglomeration of solid particles. The method was validated against experimental data under a range of operational conditions. Based on this, the evolution of particle size distribution, agglomeration efficiency and agglomeration behavior with time was numerically investigated. The effect of restitution coefficient on the performance of acoustic agglomeration was also examined. The results show that the occurrence of acoustic agglomeration yields a significant decrease in the number concentration of small particles and a small increase in the number concentration of large particles. Moreover, a worse performance of acoustic agglomeration at a higher restitution coefficient is observed. This study demonstrated the power of the proposed method in simulating the acoustic agglomeration and provided a fundamental approach for investigating the dispersed gas-solid two-phase flows.