Modelling and optimization of an inclined plane classifier using CFD-DPM and the Taguchi method

Abstract

The inclined plane air classifier is a device designed for the classification of limestone particles. It presents a simple classification mechanism and low energy requirements. Despite its advantages, the industrial application of the classifier has not been reported. This study was carried out to model the classification mechanism inside the inclined plane classifier and to propose its use in the aggregate industry where the adjustment of the particle size distribution of manufactured sands is required. The velocity and pressure fields inside the equipment were modelled using computational fluid dynamics and the particle trajectories were computed using a Lagrangian discrete phase modelling. The collisions between particles were modelled by using the discrete element method. The Taguchi method was used to study the influence of the operational and design variables on the classification performance and to optimize the equipment. The inclined plane classifier was successfully modelled and optimized for the improvement of the particle size distribution of manufactured sands showing excellent results.