چکیده :
This paper presents a numerical investigation of solid separation in jigging device. Jigging is a gravity separation
method commonly used by the minerals industry to separate coal, iron ore, diamonds and other
minerals on the basis of particle size and/or density. Separation is recognised as being heavily dependent
on fluid motion in the jig. This study explores the effects of the inlet time dependent velocity profile in
relation to a wide criterion on jigging performance. Modelling of the liquid–solid system is performed
through a combination of computational fluid dynamics (CFD) to simulate liquid flow and discrete element
method (DEM) to resolve particle motion. The initial packing conditions consist of a binary-density
particle system of 1130 particles each 1 cm in diameter. A range of jigging profiles have been implemented
in mineral processing. In this study the sinusoidal pulsation profile is selected adopting variations
in both amplitude and frequency. The performance of profile variants are compared in terms of
solid flow patterns, separation kinetics, energy, and mean particle position. These quantitative comparisons
demonstrate significant differences in the segregation rate, energy, and solid phenomena, helping
find an alternative optimum operating setting for the system. In addition, boundaries of operation are
found in terms of frequency and amplitude limits and the concentration mechanics are investigated in
these regions.
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