Stochastic Models of Particle Distribution in Separation Processes

Separation processes are important in industry. The understanding of the fundamentals of granular separation on sieve surfaces is incomplete. It results from the fact that granular matter is a system of many particles interacting via short ranged repulsive and dissipative forces, both normal and tangential to the surface of contact. We can try describing the separation processes by the Newton equations in a deterministic way. However, the models contain quite a lot of simplifications and therefore such models are not very useful. We perceive separation process as process of random character. Therefore, we can use statistical models to describe the separation process. In this article I presented the methodology of modelling and the way of using selected probability density functions. Parameters of these functions were appointed on the basis of regressive methods.