Grey correlation analysis of factors influencing maldistribution in feeding device of copper flash smelting

Abstract

An experimental model of maldistribution was established and grey correlation analysis method was employed to describe quantitatively the maldistribution phenomenon in the feeding device of copper flash smelting. Particle motion in the feeding device was separated into uniform flow in chute and restricted slanting parabolic motion in distributor channel. Factors affecting particle velocity at the chute outlet and particle moving distance in the distributor channel, which also cause the maldistribution, were analyzed based on the assumption of pseudo fluid. Experiments were conducted to study the maldistribution using river sand. The results indicate obvious mass maldistribution and an even higher degree with the increase of feeding mass rate; meanwhile, size maldistribution is negligible. Also, feeding intensity has a larger impact on circumferential maldistribution than on radial maldistribution. Based on the experimental results of the eight factors impacting the maldistribution, grey relation of each factor was calculated using grey correlation analysis. The importances of these factors were sequenced. The results show that a proper adjustment of the structure will ameliorate the maldistribution phenomenon in the feeding device of copper flash smelting.

Keywords

particle maldistribution / grey correlation / pseudo fluid / copper flash smelting

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