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.