Michele Marigo

TL;DR: In this article, the authors report on the calibration and validation of the input parameters for the specific case of cylindrical tablets represented by conjoined spheres, and highlight some of the key issues for a wider-spread of industrial applications for discrete element method.

TL;DR: In this article, a parametric multi-level sensitivity method is employed to understand the impact of the DEM input particle properties on the bulk responses for a given simple system: discharge of particles from a flat bottom cylindrical container onto a plate.

TL;DR: In this paper, the predictive capabilities of Discrete Element Method simulations of a powder mixing process in a laboratory scale paddle blade mixer is presented. But the mixing was under-predicted in the simulations, suggesting that flow energy measurements alone may not be sufficient for the optimization of a DEM model of powder mixing.

TL;DR: In this paper, the authors evaluate the power of discrete element modelling (DEM) to understand flow processes and explain mixing mechanisms in mixing equipment based on the rotating drum, such as the hoop mixer and the Turbula.

TL;DR: Despite the similarity in overall flow and mixing behaviour measured and predicted, including the mixing speed at which the flow behaviour transition occurs, a systematic offset between measured and prediction result is observed.