SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2018, Vol. 26 ›› Issue (5): 914-921.doi: 10.1016/j.cjche.2017.05.018

• Fluid Dynamics and Transport Phenomena • Previous Articles     Next Articles

Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method

Lingfeng Zhou1,2, Junwu Wang1, Wei Ge1,2, Shiwen Liu1,2, Jianhua Chen1, Ji Xu1, Limin Wang1, Feiguo Chen1, Ning Yang1, Rongtao Zhou1,2, Lin Zhang1, Qi Chang3, Philippe Ricoux4, Alvaro Fernandez5   

  1. 1 State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
    2 University of Chinese Academy of Sciences, Beijing 100049, China;
    3 Tianjin University, Tianjin 300072, China;
    4 TOTAL SA-R & D Groupe, Paris 92069, France;
    5 Total Research & Technology Feluy, Belgium, Germany
  • Received:2017-04-28 Revised:2017-04-28 Online:2018-05-28 Published:2018-06-29
  • Contact: Junwu Wang,E-mail address:jwwang@ipe.ac.cn E-mail:jwwang@ipe.ac.cn
  • Supported by:

    Supported by TOTAL (DS-2885), the National Natural Science Foundation of China (91434201, 21422608) and the "Strategic Priority Research Program" of the Chinese Academy of Sciences (XDA07080000).

Abstract: The cohesive solids in liquid flows are featured by the dynamic growth and breakage of agglomerates, and the difficulties in the development, design and optimization of these systems are related to this significant feature. In this paper, discrete particle method is used to simulate a solid-liquid flow system including millions of cohesive particles, the growth rate and breakage rate of agglomerates are then systematically investigated. It was found that the most probable size of the agglomerates is determined by the balance of growth and breakage of the agglomerates the cross point of the lines of growth rate and breakage rate as a function of the particle numbers in an agglomerate, marks the most stable agglomerate size. The finding here provides a feasible way to quantify the dynamic behaviors of growth and breakage of agglomerates, and therefore offers the possibility of quantifying the effects of agglomerates on the hydrodynamics of fluid flows with cohesive particles.

Key words: Agglomerate, Growth and breakage, Quantification, Discrete particle method