Studies of Particulate System Dynamics in Rotating Drums using Markov Chains

This work aims to develop an approach to study and capture the collective dynamics of particulate systems, which are important for operation of those processes. The collective dynamics of particles in a horizontal rotating drum are modeled based on a stochastic approach, using the Markov chains operators developed from DEM simulations. Quantitative analysis of the features of collective dynamics, namely dynamic modes of oscillatory behavior and spatial particle distribution of particle movement, are performed based on eigenvalues and singular values analysis of Markov chains operator, respectively. Furthermore, the quantitative measures are shown that it can be linked to the qualitative flow regimes of particulate systems in a horizontal rotating drum.