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The process allows one to create particles with complex non-spherical shapes, chemical patterns, and loaded cargo.
Dispersion of low-density rigid particles with complex geometries is ubiquitous in both natural and industrial environments.
Extending these basic methods with rigid body constraints enables composite particles with complex shapes such as anisotropic nanoparticles, grains, molecules, and rigid proteins to be modeled.
The study provides a general and robust framework on effective characterization and packing of granular particles with complex shapes for discrete modelling of granular media.
A systematic study on the comminution of amorphous glass particles with complex composition (seven constituents) to produce nanoparticles has been performed in a high-energy stirred media mill.
Macroscopic particle modeling has shown to be an alternative to discrete particle modeling and has a potential to model particles with complex shapes.
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Computational viable simulations are typically restricted to a few particles with realistic complex interactions or a larger number of particles with simplified interactions.
In this study we propose a novel statistical method to generate virtual 3D particles with realistically complex yet controllable shapes and further pack them effectively for use in discrete-element modelling of granular materials.
The presented model is generic and could also be applied to studying the translational dynamics of other particles with more complex architecture such as dendrites or chain-decorated nanoparticles.
The vaccinia virion is a membraned, slightly flattened, barrel-shaped particle, with a complex internal structure featuring a biconcave core flanked by lateral bodies.
Numerical experiments specially designed to validate the algorithm shows that the new algorithm can accurately predict the contact state of a particle with a complex geometric surface.
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