薄膜的粗化与弱凝结

IF 1.9 4区数学 Q1 MATHEMATICS, APPLIED

SIAM Journal on Applied Mathematics Pub Date : 2024-03-06 DOI:10.1137/23m1559336

Hangjie Ji, Thomas P. Witelski

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引用次数: 0

摘要

SIAM 应用数学杂志》第 84 卷第 2 期第 362-386 页，2024 年 4 月。摘要润滑模型可用于描述疏水基底上弱挥发性粘性流体层的动力学。薄层流体对扰动不稳定，会破裂成缓慢演化的相互作用液滴。根据弱凝结极限的近邻液滴相互作用，从润滑模型推导出了一个降阶动力学系统。研究了相同液滴的周期性阵列和成对液滴相互作用的动力学，为大型液滴系统的粗化动力学提供了见解。研究表明，弱凝结是一种奇异的扰动，它从根本上改变了液滴的长时粗化动力学以及流体在另外两种长时动力学状态下的总体质量。

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Coarsening of Thin Films with Weak Condensation

SIAM Journal on Applied Mathematics, Volume 84, Issue 2, Page 362-386, April 2024.
Abstract. A lubrication model can be used to describe the dynamics of a weakly volatile viscous fluid layer on a hydrophobic substrate. Thin layers of the fluid are unstable to perturbations and break up into slowly evolving interacting droplets. A reduced-order dynamical system is derived from the lubrication model based on the nearest-neighbor droplet interactions in the weak condensation limit. Dynamics for periodic arrays of identical drops and pairwise droplet interactions are investigated, providing insights into the coarsening dynamics of a large droplet system. Weak condensation is shown to be a singular perturbation, fundamentally changing the long-time coarsening dynamics for the droplets and the overall mass of the fluid in two additional regimes of long-time dynamics.

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来源期刊

SIAM Journal on Applied Mathematics 数学-应用数学

CiteScore

3.60

自引率

0.00%

发文量

审稿时长

12 months

期刊介绍： SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.