ISSN 1008-5548

CN 37-1316/TU

Journal Online  2022 Vol.28
<Go BackNo.4

Analysis of particle separation behavior during cavity filling process based on CFD-DEM

WU Jingjing1,CAI Jie1,GAO Yadong1,XI Jianfei1,GU Zhongzhu1,ZHONG Wenzhen2

(1.School of Energy and Mechanical Engineering,Nanjing Normal University,Nanjing 210023,China;2.School of Mechanical Engineering,University of Jinan,Jinan 250022,China)

Abstract:In order to comprehensively analyze the separation behavior of the ternary particle mixture filling the mold cavity under different working conditions,the computational fluid dynamics-discrete element method (CFD-DEM) was used to simulate the process of filling the mold with a high-density,non-viscous particle mixture.The effects of various factors such as feeding speed,particle generation method,wall inclination of feeding mechanism,mold shape and depth,and ambient air on its separation behavior were studied.The results show that increasing the travel speed of the feeding mechanism can significantly inhibit the separation behavior of large-sized particles in the travel direction,and the drop rate is as high as 71%,while the effect on the separation behavior in other directions is small.Reducing the wall slope of the feeding mechanism and appropriately increasing the depth of the mold can improve the distribution uniformity of the particle mixture in the mold cavity.For the particle mixture produced by the layered generation method,the separation behavior of the particle group located in the middle layer is significantly suppressed,and the minimum separation index is only 0.8.The air in the mold cavity will escape when the particles are filled,which will retard the movement of the fine particles,causing about 40% of the fine particles to accumulate in the local area,which is not conducive to the uniform distribution of the particle mixture in the mold.

Keywords:ternary particle mixture;cavity filling;particle separation;computational fluid dynamics-discrete element method

中图分类号: TF124                            文献标志码:A

文章编号:1008-5548(2022)04-0090-10

DOI:10.13732/j.issn.1008-5548.2022.04.010

收稿日期: 2021-07-28, 修回日期:2022-04-02,在线出版时间:2022-06-22 16:49。

基金项目:国家自然科学基金项目,编号:51878356;江苏省自然科学基金项目,编号:BK20181385,BK20171477。

第一作者简介:吴晶晶(1997—),男,硕士研究生,研究方向为颗粒流的CFD-DEM分析。E-mail:976604088@qq.com。

通信作者简介:

顾中铸(1963—),男,教授,博士,研究方向为细颗粒物的沉降理论与技术。E-mail:guzhongzhu@njnu.edu.cn。

蔡杰(1978—),男,教授,博士,研究方向为流场特性及其优化。E-mail:caijie@njnu.edu.cn。