Brownian motion of droplets induced by thermal noise

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Zhang, Haodong, Wang, Fei, Ratke, Lorenz, Nestler, Britta
Formato: Preprint
Publicado: 2023
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866917935667216384
author Zhang, Haodong
Wang, Fei
Ratke, Lorenz
Nestler, Britta
author_facet Zhang, Haodong
Wang, Fei
Ratke, Lorenz
Nestler, Britta
contents Brownian motion (BM) is pivotal in natural science for the stochastic motion of microscopic droplets. In this study, we investigate BM driven by thermal composition noise at sub-micro scales, where inter-molecular diffusion and surface tension both are significant. To address BM of microscopic droplets, we develop two stochastic multi-phase-field models coupled with the full Navier-Stokes equation, namely Allen-Cahn-Navier-Stokes (ACNS) and Cahn-Hilliard-Navier-Stokes (CHNS). Both models are validated against capillary wave theory; the Einstein's relation for the Brownian coefficient at thermodynamic equilibrium is recovered. Moreover, by adjusting the co-action of the diffusion, Marangoni effect, and viscous friction, two non-equilibrium phenomena are observed. (I) The droplet motion transits from the Brownian to Ballistic with increasing Marangoni effect which is emanated from the energy dissipation mechanism distinct from the conventional fluctuation-dissipation theorem. (II) The deterministic droplet motion is triggered by the noise induced non-uniform velocity field which leads to a novel droplet coalescence mechanism associated with the thermal noise.
format Preprint
id arxiv_https___arxiv_org_abs_2311_13320
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Brownian motion of droplets induced by thermal noise
Zhang, Haodong
Wang, Fei
Ratke, Lorenz
Nestler, Britta
Fluid Dynamics
Statistical Mechanics
Chaotic Dynamics
Brownian motion (BM) is pivotal in natural science for the stochastic motion of microscopic droplets. In this study, we investigate BM driven by thermal composition noise at sub-micro scales, where inter-molecular diffusion and surface tension both are significant. To address BM of microscopic droplets, we develop two stochastic multi-phase-field models coupled with the full Navier-Stokes equation, namely Allen-Cahn-Navier-Stokes (ACNS) and Cahn-Hilliard-Navier-Stokes (CHNS). Both models are validated against capillary wave theory; the Einstein's relation for the Brownian coefficient at thermodynamic equilibrium is recovered. Moreover, by adjusting the co-action of the diffusion, Marangoni effect, and viscous friction, two non-equilibrium phenomena are observed. (I) The droplet motion transits from the Brownian to Ballistic with increasing Marangoni effect which is emanated from the energy dissipation mechanism distinct from the conventional fluctuation-dissipation theorem. (II) The deterministic droplet motion is triggered by the noise induced non-uniform velocity field which leads to a novel droplet coalescence mechanism associated with the thermal noise.
title Brownian motion of droplets induced by thermal noise
topic Fluid Dynamics
Statistical Mechanics
Chaotic Dynamics
url https://arxiv.org/abs/2311.13320