Steady states of thin film droplets on chemically heterogeneous substrates
Abstract
We study steady-state thin films on chemically heterogeneous substrates of finite
size, subject to no-flux boundary conditions. Based on the structure of the bifurcation
diagram, we classify the 1D steady-state solutions that exist on such substrates into
six different branches and develop asymptotic estimates for the steady states on each
branch. Using perturbation expansions, we show that leading-order solutions provide
good predictions of the steady-state thin films on stepwise-patterned substrates.
We show how the analysis in one dimension can be extended to axisymmetric solutions.
We also examine the influence of the wettability contrast of the substrate pattern
on the linear stability of droplets and the time evolution for dewetting on small
domains. Results are also applied to describe 2D droplets on hydrophilic square patches
and striped regions used in microfluidic applications.
Type
Journal articlePermalink
https://hdl.handle.net/10161/23399Published Version (Please cite this version)
10.1093/imamat/hxaa036Publication Info
Liu, Weifan; & Witelski, Thomas P (2020). Steady states of thin film droplets on chemically heterogeneous substrates. IMA Journal of Applied Mathematics (Institute of Mathematics and Its Applications), 85(6). pp. 980-1020. 10.1093/imamat/hxaa036. Retrieved from https://hdl.handle.net/10161/23399.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Thomas P. Witelski
Professor in the Department of Mathematics
My primary area of expertise is the solution of nonlinear ordinary and partial differential
equations for models of physical systems. Using asymptotics along with a mixture of
other applied mathematical techniques in analysis and scientific computing I study
a broad range of applications in engineering and applied science. Focuses of my work
include problems in viscous fluid flow, dynamical systems, and industrial applications.
Approaches for mathematical modelling to formulate reduced systems o

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