风洞管道中细微颗粒物浓度分布规律的数值模拟
Numerical Simulation of the Concentration of Fine Particles Distribution in Wind Tunnel Ducts
DOI: 10.12677/MOS.2021.102047, PDF,   
作者: 李熠豪：上海北分科技股份有限公司，上海；杜登高, 陶乐仁, 黄理浩：上海理工大学能源与动力工程学院，上海；上海市动力工程多相流动与传热重点实验室，上海
关键词: 气固两相流；颗粒物；数值模拟；随机轨道模型；Gas-Solid Two-Phase Flow； Particulate Matters； Numerical Simulation； Discrete Random Walk Model
摘要: 本文利用计算流体动力学(CFD)研究风洞管道中气流驱动的细微颗粒物的扩散分布规律。基于欧拉–拉格朗日方法建立数值模型，使用随机轨道模型来考虑湍流扩散，求解颗粒物的扩散轨迹。分析气流风速和入口颗粒物质量流率变化对颗粒物扩散的影响，研究风洞管道内流场分布规律和颗粒物浓度场分布规律。结果表明，气流通过弯管之后的产生的二次流是影响颗粒物分布均匀性的主要原因。并且发现只改变管道内风速或者颗粒入口质量流率的情况下，颗粒物浓度随着风速增加而降低，随颗粒物质量流率增加而增加。研究结果有助于加深对颗粒物随气流运动规律及机理的研究，为颗粒物排放监控提供更合适的指导策略。
Abstract: In this study, computational fluid dynamics (CFD) was used to study the diffusion of particles driven by airflow in wind tunnel duct. A numerical model is established based on the Euler-Lagrange method, and discrete random walk model is used to consider the turbulence diffusion, and the trajectory of particles is solved. The influence of wind speed and mass flow rate of particles at the inlet on the diffusion was analyzed, and the distribution law of flow field and particles concentration field in wind tunnel ducts was studied. The results show that the secondary flow after the flow through the elbow is the main reason that affects the distribution uniformity of particles. It was also found that the concentration of particles decreased with the increase of wind speed and increased with the increase of mass flow rate of particles when only the wind speed in the ducts or the mass flow rate of particles at the inlet was changed. The research results are helpful to deepen the understanding on the movement law and mechanism of particles, and provide more appropriate guiding strategies for particles emission monitoring.
文章引用：李熠豪, 杜登高, 陶乐仁, 黄理浩. 风洞管道中细微颗粒物浓度分布规律的数值模拟[J]. 建模与仿真, 2021, 10(2): 459-470. https://doi.org/10.12677/MOS.2021.102047

参考文献

[1] 高贵生. 大气细颗粒物PM2.5污染来源及防治措施[J]. 化工管理, 2017(5): 250.
[2] Kliafas, Y. and Holt, M. (1987) LDV Measurements of a Turbulent Air-Solid Two-Phase Flow in a 90˚ Bend. Experiments in Fluids, 5, 73-85. [Google Scholar] [CrossRef] 
[3] Tsuji, Y., Kawaguchi, T. and Tanaka, T. (1993) Discrete Particle Sim-ulation of Two-Dimensional Fluidized Bed. Powder Technology, 77, 79-87. [Google Scholar] [CrossRef] 
[4] Huber, N. and Sommerfeld, M. (1994) Characterization of the Cross-Sectional Particle Concentration Distribution in Pneumatic Conveying Systems. Powder Technology, 79, 191-210. [Google Scholar] [CrossRef] 
[5] Akilli, H., Levy, E.K. and Sahin, B. (2001) Gas-Solid Flow Behavior in a Horizontal Pipe after a 90˚ Vertical-to-Horizontal Elbow. Powder Technology, 116, 43-52. [Google Scholar] [CrossRef] 
[6] 宋勇. 旋风分离器内气固两相流流场数值模拟[D]: [硕士学位论文]. 沈阳: 东北大学, 2011
[7] 杨瑞昌, 赵磊, 巨泽建, 刘若雷. 使用扩散模型数值模拟二维湍流气固两相流[J]. 工程热物理学报, 2005, 26(z1): 113-116.
[8] 李建锋, 吕俊复, 张海, 等. 排粉风机内部气固两相流动特性研究[J]. 流体机械, 2008, 36(2): 22-26.
[9] Sa, Z., Li, F., Qin, B. and Pan, X. (2012) Numerical Simulation Study of Dust Concentration Distribution Regularity in Cavern Stope. Safety Science, 50, 857-860. [Google Scholar] [CrossRef] 
[10] Zhao, M., Liu, D., Ma, J. and Chen, X. (2020) CFD-DEM Simu-lation of Gas-Solid Flow of Wet Particles in a Fluidized Bed with Immersed Tubes. Chemical Engineering and Pro-cessing-Process Intensification, 156, Article ID: 108098. [Google Scholar] [CrossRef] 
[11] Yang, D., Li, G., Wang, Y., Wang, Q., Li, J., Huang, Q., et al. (2020) Prediction of Horizontal Pneumatic Conveying of Large Coal Particles Using Discrete Phase Model. Advances in Materials Science and Engineering, 2020, Article ID: 1967052. [Google Scholar] [CrossRef] 
[12] Bilal, F.S., Sedrez, T.A. and Shirazi, S.A. (2021) Experimental and CFD Investigations of 45 and 90 Degrees Bends and Various Elbow Curvature Radii Effects on Solid Particle Erosion. Wear, Article ID: 203646. [Google Scholar] [CrossRef] 
[13] Brusca, S., Famoso, F., Lanzafame, R., Mauro, S. and Strano, S. (2016) PM10 Dispersion Modeling by Means of CFD 3D and Eulerian-Lagrangian Models: Analysis and Comparison with Experiments. Energy Procedia, 101, 329-336. [Google Scholar] [CrossRef] 
[14] Yakhot, V. and Orszag, S.A. (1986) Renormalization Group Analysis of Turbulence. I. Basic Theory. Journal of Scientific Computing, 1, 3-51.
[15] 朱红钧. FLUENT 12流体分析及工程仿真[M]. 北京: 清华大学出版社, 2011.
[16] 胡霄乐. 细弯管内多粒径颗粒的气固两相流动规律分析[D]: [硕士学位论文]. 杭州: 浙江工业大学, 2015.
[17] 李鹏飞, 徐敏义, 王飞飞. 精通CFD工程仿真与案例实战: FLUENT GAMBIT ICEM CFD Tecplot [M]. 北京: 人民邮电出版社, 2011.
[18] 汪建兴, 王海民, 饶玲. 细小直角弯管流道的压力损失及迪恩涡特性[J]. 流体机械, 2017, 45(3): 33-37.

为你推荐