Material and interaction properties of selected grains and oilseeds for modeling discrete particles

CorinneB_21985
CorinneB_21985 New Altair Community Member
edited November 2021 in Altair HyperWorks

AUTHOR(S)

J. M. Boac, J. P. Harner III, M. E. Casada, R. G. Maghirang

PUBLISHER

American Society of Agricultural and Biological Engineers

SOURCE

Transactions of the ASABE

YEAR

ABSTRACT

Experimental investigations of grain flow can be expensive and time consuming, but computer simulations can reduce the large effort required to evaluate the flow of grain in handling operations. Published data on material and interaction properties of selected grains and oilseeds relevant to discrete element method (DEM) modeling were reviewed. Material properties include grain kernel shape, size, and distribution; Poisson's ratio; shear modulus; and density. Interaction properties consist of coefficients of restitution, static friction, and rolling friction. Soybeans were selected as the test material for DEM simulations to validate the model fundamentals using material and interaction properties. Single- and multi-sphere soybean particle shapes, comprised of one to four overlapping spheres, were compared based on DEM simulations of bulk properties (bulk density and bulk angle of repose) and computation time. A single-sphere particle model best simulated soybean kernels in the bulk property tests. The best particle model had a particle coefficient of restitution of 0.6, particle coefficient of static friction of 0.45 for soybean-soybean contact (0.30 for soybean-steel interaction), particle coefficient of rolling friction of 0.05, normal particle size distribution with standard deviation factor of 0.4, and particle shear modulus of 1.04 MPa.

KEYWORDS

Barley, Canola, Corn, Discrete element method, Interaction properties, Material properties, Multi‐sphere particle, Oats, Rice, Simulation, Single‐sphere particle, Sorghum, Soybeans, Sunflower, Wheat