Computational geometric methods for preferential clustering of particle suspensions
نویسندگان
چکیده
• An efficient geometric method better calculates preferential concentration of particles. A contractivity-preserving splitting preserves the sum Lyapunov spectrum. The centrifuge effect is also mimicked in numerical solution. Non-divergence-free interpolation can erroneously cluster Matrix-valued RBFs are equivalent to via regularized Stokeslets. for simulating suspensions spherical and non-spherical particles with Stokes drag proposed. combines divergence-free matrix-valued radial basis function fluid velocity field a integrator that spectrum while mimicking exact We discuss how breaking condition step affect volume particulate phase evolves under methods. methods tested on 10 4 evolving discrete cellular flow field. results proposed generate more accurate cost-effective particle distributions compared conventional
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ژورنال
عنوان ژورنال: Journal of Computational Physics
سال: 2022
ISSN: ['1090-2716', '0021-9991']
DOI: https://doi.org/10.1016/j.jcp.2021.110725