Journal of South China University of Technology (Natural Science Edition) ›› 2013, Vol. 41 ›› Issue (10): 98-102.doi: 10.3969/j.issn.1000-565X.2013.10.016

• Materials Science & Technology • Previous Articles     Next Articles

Numerical Simulation of Dispersive Mixing in Flow Field of Particulate Agglomerates with Fractal Structure

Ma Xiang-jun Qiu Zhong-cai Tao Cheng-wen   

  1. National Engineering Research Center of Novel Equipment for Polymer Processing,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2013-03-25 Revised:2013-07-02 Online:2013-10-25 Published:2013-09-03
  • Contact: 麻向军(1966-),男,博士,副教授,主要从事材料成型过程的数值模拟研究. E-mail:xjma@scut.edu.cn
  • About author:麻向军(1966-),男,博士,副教授,主要从事材料成型过程的数值模拟研究.
  • Supported by:

    国家“十二五”科技支撑计划项目( 2011BAE15B00)

Abstract:

In this paper,a 2-D discrete element program Demix2D is developed to investigate the dispersive mixingmechanism and dynamic details of particulate agglomerates by introducing the van der Waals force and the fluiddrag force into the classic discrete element model. Then,the dispersive mixing process of the agglomerates withfractal structure is numerically simulated in three different flow fields,namely,the steady shear flow field,theelongation flow field and the combined shear and elongation flow field. Simulation results show that ( 1) the agglomeratesin the flow fields first exhibit deformation behavior and then disperse in the manners of erosion and rupture;( 2) under the same flow stress,the elongation flow field has the highest dispersion efficiency with the smallestfinal average fragment size,while the shear flow field has the lowest dispersion efficiency with the largest finalaverage fragment size; and ( 3) with the increase of the flow stress in the same flow field,the dispersion efficiencyincreases and the final average fragment size decreases.

Key words: fractal structure, particulate agglomerate, dispersive mixing, flow field type, dispersion efficiency