关键词: 选粉机, 非稳态, 颗粒轨迹, 粒径分布

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