基于Euler-Lagrange方法的细粒煤脉动气流分选数值模拟

发布时间：2018-10-11 18:24

【摘要】：传统的欧拉模型和离散相模型难以准确模拟细粒煤气流分选过程,为此采用DDPM(Dense Discrete Phase Model)模型,引入相体积分数和软球碰撞模型,提出了一种基于离散相体积分数和颗粒间碰撞作用的新的细粒煤气流分选过程数值模拟方法。通过数值模拟与实验室连续分选实验,研究了分选机内流场分布和6~3 mm细粒煤脉动气流分选效果。结果表明:采用DDPM模型可有效模拟细粒煤气流分选过程中颗粒相对流场的扰动作用;分选柱内流场受被分选物料的影响,速度分布和压降值较加入颗粒前变化明显,且分选机处理量越高,压降变化越明显;实验条件范围内,DDPM模型模拟得到的各密度级重产物分配率均方根误差低于3%,且相同风量时,分选机处理量越大,分选密度越高。
[Abstract]:The traditional Euler model and discrete phase model are difficult to simulate the separation process of fine gas flow accurately. For this reason, the DDPM (Dense Discrete Phase Model) model is adopted and the phase volume fraction and soft sphere collision model are introduced. A new numerical simulation method for the separation process of fine gas flow based on discrete phase volume fraction and collision between particles is proposed. Through numerical simulation and laboratory continuous separation experiments, the flow field distribution in the separator and the pulsating airflow separation effect of 6 ~ (3) mm fine coal were studied. The results show that the DDPM model can effectively simulate the disturbance of particle relative to the flow field in the separation process of fine particle gas flow, the velocity distribution and pressure drop in the separation column are affected by the separated material, and the velocity distribution and pressure drop value change obviously than before the particle is added. In the range of experimental conditions, the RMS error of each density grade weight product distribution rate obtained by DDPM model is lower than 3 parts, and when the air volume is the same, the higher the sorting capacity is, the higher the sorting density is.
【作者单位】：中国矿业大学(北京)化学与环境工程学院;
【基金】：国家自然科学基金资助项目(51574252) 国家重点基础研究发展计划(973)资助项目(2012CB214904)
【分类号】：TD94

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