Department of Fluid Mechanics, School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China.
Department of Fluid Machinery, School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China.
Int J Environ Res Public Health. 2022 Dec 2;19(23):16129. doi: 10.3390/ijerph192316129.
In this paper, a mathematical model based on the two-fluid frame model coupled with the population balance model which considers the aggregation of particles and droplets in detail for cyclonic spray dedusting is proposed. The model is applied to study the characteristics of multiphase flow field and the effects of the gas velocity, spray volume, and particle concentration on the removal efficiency. In addition, the simulation results are verified by the experimental data. The results suggest that the turbulence kinetic energy increases near the wall as the inlet velocity increases, and the spray region increases as the spray volume increases. This is conducive to turbulent mixing of the particles and droplets, and the agglomeration efficiency of the particles is improved, so the particle size increases, and the particle removal efficiency increases to 99.7% by simulation results are within the allowable range of error (about 99-99.5% in dedusting efficiency by experimental data). As the particle concentration increases, the particle removal efficiency initially increases, then decreases and reaches the highest value at 2 g/m, which is due to the limited adsorption efficiency of the spray droplets. The results are helpful for providing a theoretical basis for spray to promote agglomeration of particles and improving the dust removal efficiency in the swirl field.
本文提出了一种基于双流体框架模型并结合详细考虑颗粒和液滴聚集的颗粒聚并模型的数学模型，用于旋风水雾除尘。该模型用于研究多相流场的特性以及气体速度、喷雾量和颗粒浓度对去除效率的影响。此外，通过实验数据验证了模拟结果。结果表明，随着入口速度的增加，靠近壁面的湍流动能增加，随着喷雾量的增加，喷雾区域增加。这有利于颗粒和液滴的湍流混合，颗粒的聚并效率提高，因此颗粒尺寸增加，模拟结果的颗粒去除效率达到 99.7%，在允许的误差范围内（实验数据中的除尘效率约为 99-99.5%）。随着颗粒浓度的增加，颗粒去除效率最初增加，然后降低，在 2 g/m 时达到最高值，这是由于喷雾液滴的吸附效率有限。结果有助于为喷雾促进颗粒聚并和提高旋流场除尘效率提供理论基础。
