Particle generation to minimize the computing time of the discrete element method for particle packing simulation

There are computation time constraints caused by the number and size of particles in the powder packing simulation using DEM. In this paper, newly suggested packing model transforms a general packing sequence -particle generation, stack, and compression-into particle generation and packing by growing particles. To verify the new packing model, it was compared using three contact models widely used in DEM, in terms of radial distribution function, porosity, and coordination number. As a result, contact between particles showed a similar trend, and the pore distribution was also similar. Using the new packing model can reduce simulation time by 400 % compared to the normal packing model without any other coarse graining methods. This model has only been applied to particle packing simulations in this paper, but it can be expanded to other simulations with complex domain based on DEM.

Automated summary

The paper proposes a new packing model that reduces computation time by using particle growth for generation and packing. The model is validated and compared with three widely used contact models in DEM, showing similar trends in particle contact and pore distribution.