[1]陈剑璇,李占福,高紫圣,等.基于CFD-DEM的盘式气流磨分级数值模拟[J].福建理工大学学报,2025,23(04):382-388.[doi:10.3969/j.issn.2097-3853.2025.04.011]
　CHEN Jianxuan,LI Zhanfu,GAO Zisheng,et al.Numerical simulation of classification in a spiral jet mill based on CFD-DEM[J].Journal of Fujian University of Technology;,2025,23(04):382-388.[doi:10.3969/j.issn.2097-3853.2025.04.011]
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基于CFD-DEM的盘式气流磨分级数值模拟()
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《福建理工大学学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第23卷
期数:
2025年04期
页码:
382-388
栏目:
出版日期:
2025-08-25

文章信息/Info

Title:
Numerical simulation of classification in a spiral jet mill based on CFD-DEM
作者:
陈剑璇; 李占福; 高紫圣; 童昕
（福建理工大学机械与汽车工程学院）福建省智能加工技术及装备重点实验室
Author(s):
CHEN Jianxuan;  LI Zhanfu;  GAO Zisheng;  TONG Xin
Fujian Key Laboratory of Intelligent Processing Technology and Equipment
关键词:
铁基粉末; 盘式气流磨; 计算流体动力学; 离散元法; 气流分级
Keywords:
iron-based powder;  spiral jet mill;  computational fluid dynamics;  discrete element method;  airflow classification
分类号:
TB44
DOI:
10.3969/j.issn.2097-3853.2025.04.011
文献标志码:
A
摘要:
为了探索盘式气流磨中铁基粉末分级的内在机理,开发了基于CFD-DEM 气固两相流模型,实现对盘式气流磨分级的数值模拟,并分析不同进气压力对分级性能的影响。采用计算流体力学(com?putational fluid dynamics, CFD)和离散元法(discrete element method, DEM)双向耦合的数值模拟方法,使用喷嘴入口速度,验证网格数量对计算结果的影响。把腔室内部划分为破碎区、分级区和分级轮内部。颗粒间的碰撞主要发生在破碎区并随着时间的增加而加剧,在分级轮内部几乎没有颗粒间的碰撞。随着喷嘴进气压力的增加,分级效率呈现降低的趋势,从91.0 %下降到56.8 %,且整体变化幅度大;而分级精度则呈现增加趋势,从0.63 增加到0.87。
Abstract:
In order to explore the intrinsic mechanism of iron-based powder classification in a spiral jet mill, a gas-solid two-phase flow model using CFD-DEM is developed to realize the numerical simulation of spiral jet mill classification and to analyze the effect of different nozzle inlet pressures on the classification performance. A two-way coupled numerical simulation method of computational fluid dynamics (CFD) and discrete element method (DEM) is adopted to verify the influence of the number of grids on the calculation results using the nozzle inlet velocity. The interior of the chamber can be divided into the crushing zone, the classifying zone and the interior of the classification wheel. The collision between particles mainly occurs in the crushing zone, and the collision is more intense with the increase of time, and there is almost no collision between particles inside the classification wheel. With the increase of nozzle inlet pressure, the classification efficiency decreases from 91.0 % to 56.8 %, and the overall change is large. The classification accuracy shows an increasing trend from 0.63 to 0.87.

参考文献/References:

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更新日期/Last Update: 2025-08-25