دانلود مقاله : Modeling collective dynamics of particulate systems under time-varying operating co

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