Abstract: This paper investigated the classifier particles trajectory tracking simulation . Based on the computational fluid dynamics (CFD) theory，discrete particle model (DPM) was used to simulate particles trajectory. The process of particles classification was investigated using particle motion equation integral of time. According to the results of 2D plane particles capturing and sampling，time-varying curves of fine and coarse particles mass flow rates under different conditions and the average mass flow rate of stable stage under each condition were obtained. In addition，the diameter distributions of fine particles under different conditions were studied. In order to verify the validity of the simulation results，classifier performance with air volume of 5500 m3/min，rotator speed of 55 r/min，and feeding rate of 60 kg/s was investigated. The results showed that the error of fine particles mass flow rate simulation was 6.12%. The simulation curve of the fine particles diameter distribution results demonstrated a good agreement with the experiment curve. The relative errors for different particle sizes were presented as the following：8.26% for particles smaller than 30 μm；9.37% for particle sizes in the range of 30 to 100 μm；and 6.54% for particles bigger than 100μm. This research provided a simulation method for prediction of classifier product output and particle diameter distributions under given conditions.

Key words: classifier, unsteady, particle trajectory, particle diameter distribution

摘要： 选粉机颗粒轨迹模拟研究是分析选粉机分级效率与分级精度性能技术指标的重要基础之一。根据计算流体动力学（CFD）理论，运用DPM模型的颗粒运动方程对时间积分求解颗粒运动轨迹，阐述了颗粒的分级过程。对二维平面离散颗粒的捕集和采样结果进行分析，考察了细粉和粗粉的质量流率，并研究了不同工况下细粉颗粒粒径分布情况。对数值模拟相关工况点进行模拟结果的实验分析，结果表明：细粉颗粒质量流率模拟结果与实验结果误差为5.66%；细粉颗粒粒径分布曲线两者较吻合，100 μm颗粒含量相对误差为6.54%。研究结果为分析和预测选粉机不同工况下的成品产量和粒径分布提供了模拟方法。

关键词: 选粉机, 非稳态, 颗粒轨迹, 粒径分布