چکیده :
This paper develops an approach to modeling and analyzing the overall dynamics of monodisperse particulate
systems in a horizontal rotating drum under time-varying drum rotational speeds. This approach
captures the above collective dynamics using stochastic models in the form of Markov chains. The characteristics
of such dynamics can be obtained from the Markov chain operator. It provides a systematic
way to the analysis of features of collective particle movements, which is in contrast to the existing qualitative
analysis. In this paper, Markov chains models are developed based on DEM simulation results to
show the effectiveness of the proposed approach. The obtained operators are used to estimate the spatial
particle distribution and particulate mixing as examples of collective dynamic features of particulate
systems