Journal
CHEMICAL ENGINEERING JOURNAL
Volume 260, Issue -, Pages 240-257Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2014.08.052
Keywords
Modeling; Coal beneficiation; Segregation; TFM-DEM; Hybrid model
Categories
Funding
- National Program on Key Basic Research Project (973 Program) of China [2012CB214900]
- China Scholarship Council (CSC)
Ask authors/readers for more resources
Particle segregation behavior in a coal beneficiation fluidized bed (CBFB) is numerically studied using a TFM-DEM hybrid model, in which the gas and the dense solid phases are modeled using a Eulerian-Eulerian or two fluid model (TFM), while the beneficiated coal particles are modeled as a dilute phase by the discrete element method (DEM). For validation purpose, the numerical model was setup using geometric and operating conditions similar to a laboratory experimental model with the bed thickness set to one particle diameter to save computational cost. For a fixed gas injection velocity, the influence of particle size and density of the beneficiated samples was studied. It was found that the particles would segregate along the bed height due to the density differences with the degree of segregation being strongly influenced by particle size. Obvious segregation occurs for the coarse samples (6.7 mm and 4.3 mm) and little segregation occurs for the particles smaller than 3 mm. The flow patterns and segregation kinetics were qualitatively comparable with those observed in physical experiments conducted under similar conditions. On this basis, the underlying mechanisms governing particle segregation have been explained in terms of the hydrodynamic forces acting on individual particles. It was demonstrated that the segregation of coarse particles was mainly controlled by the balance between gravity and the local pressure force, while fine particles were more strongly affected by the direct drag forces from the gas phase and the continuum solid phase, thus making them difficult to separate. (C) 2014 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available