(137a) Demonstration of Multi-Level Coarse-Grain (MCG) DEM Simulation Technique for Twin Screw Feeder | AIChE

(137a) Demonstration of Multi-Level Coarse-Grain (MCG) DEM Simulation Technique for Twin Screw Feeder


Chakraborty, J. - Presenter, Indian Institute of Technology
Mahto, L., Indian Institute of Technology Kharagpur
Kumar, J., Indian Institute of Technology Kharagpur
Tripathi, A., Indian Institute of Technology, Bombay
Ketterhagen, W., Abbvie
Sen, M., Rutgers University
Simulation of large granular systems using the discrete element method (DEM) is challenging because it takes a great amount of computation. One of the ways to reduce the computation expense is to use massive parallelization using Graphical Processing Units (GPUs). However, the recently published Multilevel coarse-graining technique (MCG) [1] may also be used to achieve significant speed-up. The computational time is not only dependent on the number of particles, but also on the complexity of the system geometry. Hence, additional and significant speed-up can be achieved using appropriate partitioning of the geometry among the processors and optimized mesh generation. In this presentation, we will demonstrate these strategies using the twin-screw feeder [2] shown in Figure 1(A).

In MCG simulations, particles with different coarse-grain ratios are used in different regions in the system to reduce the computational cost while preserving simulation accuracy. An example of an MCG approach with three coarse-grain ratios is shown in Figure 1(B). The MCG simulation of the twin-screw feeder has been conducted in LIGGGHTS-Public using 24 cores. Using this strategy and optimized mesh element and processor mapping, the simulation time is 4 weeks faster than the reported using GPU-based computation [2].

[1] T. De, J. Chakraborty, J. Kumar, A. Tripathi, M. Sen, W. Ketterhagen, A particle location
Based multi-level coarse-graining technique for discrete element method (dem) simulation,
Powder Technology (2021) 117058

[2] P. Toson, J.G. Khinast, Particle-level residence time data in a twin-screw feeder, Data Br. 27
(2019) 104672. https://doi.org/10.1016/j.dib.2019.104672.