Review and benchmarking of process models for batch screening based on discrete element simulations

Abstract

In the recent past detailed particle-based simulation approaches such as the discrete element method (DEM) have become popular in addition to phenomenological models for the design and optimization of operating parameters of screening processes. As phenomenological process models, a large number of probabilistic and kinetic approaches of differing complexity are available which mostly provide information on the screening rate or efficiency. So far a review and comparative benchmarking of the various available screening process models has not been performed, although they are of high relevance, especially in industrial applications, due to their simplicity and easy use. To perform the benchmarking of batch screening process models, it is not relied on experimental investigations, but on detailed DEM-simulations involving both spherical and non-spherical particles in the investigation here. The DEM-simulations allow examining different particle characteristics such as size, shape, friction, as well as overall mass and size distribution. In addition, screen characteristics such as screen dimensions and surface as well as operational parameters including vibration frequency, stroke angle and amplitude are considered. On the basis of the DEM-simulations screening efficiencies are obtained which allow the adjustment and thereon benchmarking of the process models through parameters such as the residual particle mass on the screen.