DefinePK

Abstract

Particle properties can have a great influence on the design, optimization, and control of plants in the processing of heavy minerals such as gold and silver. In this paper, the identification of the position of a particle in the bed of a Jig-type gravity concentrator was proposed by means of data obtained from a phenomenological model of the particle trajectory. The data obtained from the phenomenological model were used for the construction and validation of an auto-regressive model with exogenous input (ARX) and an artificial neural network (ANN) model. The results obtained were contrasted and the construction process of both models was documented. The identified models showed a fit with errors lower than 2 % with respect to the data provided by the phenomenological model, which makes them suitable for control and optimization purposes of the equipment in mineral recovery.