基于微分代数积分矩量法的聚并器超细颗粒聚团研究

发布时间：2018-11-05 16:14

【摘要】：研究聚并器内布朗聚团和湍流聚团引起超细颗粒聚团,特别考虑颗粒之间近程力(范德华引力、静电斥力)和颗粒与气体之间的流体力学作用力对颗粒聚团的影响。基于FLUENT软件UDF功能自定义聚团核,考虑颗粒之间近程力和流体力学作用力对聚并率的影响,引入碰撞效率α对聚团核进行修正,得到修正湍流聚并模型并将该模型与理想湍流聚并模型进行比较。应用群体平衡模型(population balance model,PBM)耦合CFD对颗粒聚团过程进行数值模拟,并采用微分代数积分矩量法(DAE-QMOM)求解群体平衡方程。结果表明:理想湍流聚并模型与实验结果误差为8.92%,而修正改进的湍流聚团模型与实验结果误差仅为3.35%,更加符合实际情况;微分代数积分矩量法具有较高的效率,而且误差较小,相比PD积分矩量法有明显的优势,稳定性也比较突出。
[Abstract]:The effects of short range forces between particles (van der Waals force electrostatic repulsion) and hydrodynamic forces between particles and gases on the aggregation of ultrafine particles caused by Brownian and turbulent aggregates in aggregators were studied. Based on the UDF function of FLUENT software, the cluster nuclei are self-defined. Considering the effects of the short-range forces between particles and the hydrodynamic forces on the coalescence rate, the collision efficiency 伪 is introduced to modify the cluster nuclei. The modified turbulence aggregation model is obtained and compared with the ideal turbulence aggregation model. The population equilibrium model (population balance model,PBM) coupled with CFD is used to simulate the particle aggregation process and the differential algebraic integral moment method (DAE-QMOM) is used to solve the population equilibrium equation. The results show that the error between the ideal turbulent aggregation model and the experimental results is 8.92, but the error between the modified turbulent cluster model and the experimental results is only 3.35, which is more in line with the actual situation. Differential-algebraic integral moment method has higher efficiency and smaller error than PD integral moment method.
【作者单位】：东北电力大学能源与动力工程学院;
【基金】：吉林省教育厅“十三五”科研项目([2016]第81号) 吉林市科技发展项目(20156405)~~
【分类号】：TM621.73

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