Solution landscapes in nematic microfluidics

We study the static equilibria of a simplified Leslie–Ericksen model for a unidirectional uniaxial nematic flow in a prototype microfluidic channel, as a function of the pressure gradient G and inverse anchoring strength, B. We numerically find multiple static equilibria for admissible pairs (G, B)...

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Автори: Crespo, M, Majumdar, A, Ramos, A, Griffiths, I
Формат: Journal article
Опубліковано: Elsevier 2017
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author Crespo, M
Majumdar, A
Ramos, A
Griffiths, I
author_facet Crespo, M
Majumdar, A
Ramos, A
Griffiths, I
author_sort Crespo, M
collection OXFORD
description We study the static equilibria of a simplified Leslie–Ericksen model for a unidirectional uniaxial nematic flow in a prototype microfluidic channel, as a function of the pressure gradient G and inverse anchoring strength, B. We numerically find multiple static equilibria for admissible pairs (G, B) and classify them according to their winding numbers and stability. The case G = 0 is analytically tractable and we numerically study how the solution landscape is transformed as G increases. We study the one-dimensional dynamical model, the sensitivity of the dynamic solutions to initial conditions and the rate of change of G and B. We provide a physically interesting example of how the time delay between the applications of G and B can determine the selection of the final steady state.
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spelling oxford-uuid:701957b2-2a5b-417e-a302-1318636b51b72022-03-26T19:34:52ZSolution landscapes in nematic microfluidicsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:701957b2-2a5b-417e-a302-1318636b51b7Symplectic Elements at OxfordElsevier2017Crespo, MMajumdar, ARamos, AGriffiths, IWe study the static equilibria of a simplified Leslie–Ericksen model for a unidirectional uniaxial nematic flow in a prototype microfluidic channel, as a function of the pressure gradient G and inverse anchoring strength, B. We numerically find multiple static equilibria for admissible pairs (G, B) and classify them according to their winding numbers and stability. The case G = 0 is analytically tractable and we numerically study how the solution landscape is transformed as G increases. We study the one-dimensional dynamical model, the sensitivity of the dynamic solutions to initial conditions and the rate of change of G and B. We provide a physically interesting example of how the time delay between the applications of G and B can determine the selection of the final steady state.
spellingShingle Crespo, M
Majumdar, A
Ramos, A
Griffiths, I
Solution landscapes in nematic microfluidics
title Solution landscapes in nematic microfluidics
title_full Solution landscapes in nematic microfluidics
title_fullStr Solution landscapes in nematic microfluidics
title_full_unstemmed Solution landscapes in nematic microfluidics
title_short Solution landscapes in nematic microfluidics
title_sort solution landscapes in nematic microfluidics
work_keys_str_mv AT crespom solutionlandscapesinnematicmicrofluidics
AT majumdara solutionlandscapesinnematicmicrofluidics
AT ramosa solutionlandscapesinnematicmicrofluidics
AT griffithsi solutionlandscapesinnematicmicrofluidics