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机构地区:[1]上海北分科技股份有限公司,上海 [2]上海理工大学能源与动力工程学院,上海 [3]上海市动力工程多相流动与传热重点实验室,上海
出 处:《建模与仿真》2021年第2期459-470,共12页Modeling and Simulation
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。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.
分 类 号:X51[环境科学与工程—环境工程]
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