Modeling of Separation of Granular Materials on Multiple-Deck Classifiers Using the Theory of Stochastic Processes

Abstract

The mathematical model of the separation of granular materials on multiple-deck sieve classifiers has been constructed using the theory of Poisson processes and the model has been identified. The problem of the optimal implementation of the process in multicriterial setting has been formulated and solved; the engineering simulation of the classifier has been performed using this solution.