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Computational Modelling

Granular Flow - Application

Size segregation by a vibrating screen

Contact personnel:  P.W. Cleary

Separation of granular materials according to their physical properties is a very important process. Vibration induced segregation can be predicted by the DEM model. The figures below shows the initial state and state after 78 s of vibration of a box containing a binary mixture of 8 cm particles (initially at the bottom) and 2 cm particles (initially on top). The initial hexagonal microstructure of the large particles is very stable making this a good test.

seg_1.gif (14285 bytes) seg_2.gif (19223 bytes)

initial state

after shaking for 78 s

As the shaking occurs, short lived gaps are created in the microstructure, allowing small particles to fall to lower levels. The intrusion of smaller particles prevents the larger particles from returning to their previous packed state. This allows further small particles to fall into the now long-lived gaps that have been opened between the large ones. Eventually the small particles reach the bottom. In this example, the small particles behave as invaders, slowly eating away at the microstructure of large particles. As each larger particle is separated it rises quickly to the surface. By t = 78 s the large particles clearly occupy the upper part, demonstrating that size segregation can be predicted by DEM modelling. Further segregation is prevented by the large-scale convective motions generated by such vibration [1].

The figures below show the initial and final state of a binary mixture of 3 cm particles. The grey particles have a density of 1600 kg/m3, while the pink particles are heavier with a density of 3600 kg/m3. After shaking for 55 s, there is a clear concentration of heavy particles towards the bottom and lighter particles towards the top demonstrating that density segregation can be predicted by the DEM model. The mechanism responsible for density segregation is presently not well understood.

seg_3.gif (13812 bytes) seg_4.gif (15522 bytes)

initial state

after shaking for 55 s

Rates of segregation can be predicted using the methodology described in [2] involving the calculation of the coefficient of variation of the distribution of local average diameter or density. This allows optimal vibrational modes to be identified that give the best separation rates for given types of materials.

Download animation: AVI (320x240 pixels;19.8 MB)
QuickTime (320x240 pixels; 34.5MB)

References

[1] K. Liffman, G. Metcalfe, P.W. Cleary, Particle segregation and convective transport due to horizontal shaking, Physical Review Letters, 79, 4574-4576 (1997).

[2] P.W. Cleary, Discrete element modelling of industrial granular flow applications, TASK Quarterly Journal, 2, 385-415 (1998).

 

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last updated July 18, 2007 05:23 PM

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