Aggregation and disaggregation processes in clusters of particles: simple numerical and theoretical insights of the competition in 2D geometries - Computing & Fluids Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2022

Aggregation and disaggregation processes in clusters of particles: simple numerical and theoretical insights of the competition in 2D geometries

Résumé

Aggregation and disaggregation of clusters of attractive particles under flow are studied from numerical and theoretical points of view. Two-dimensional molecular dynamics simulations of both Couette and Poiseuille flows highlight the growth of the average steady-state cluster size as a power law of the adhesion number, a dimensionless number that quantifies the ratio of attractive forces to shear stress. Such a power-law scaling results from the competition between aggregation and disaggregation processes, as already reported in the literature. Here, we rationalize this behavior through a model based on an energy function, which minimization yields the power-law exponent in terms of the cluster fractal dimension, in good agreement with the present simulations and with previous works.

Dates et versions

hal-03922659 , version 1 (04-01-2023)

Identifiants

Citer

Louis-Vincent Bouthier, Romain Castellani, Sébastien Manneville, Arnaud Poulesquen, Rudy Valette, et al.. Aggregation and disaggregation processes in clusters of particles: simple numerical and theoretical insights of the competition in 2D geometries. 2022. ⟨hal-03922659⟩
31 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More