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A Langevin model for fluctuating contact angle behaviour parametrised using molecular dynamics.
Smith, E R; Müller, E A; Craster, R V; Matar, O K.
Afiliação
  • Smith ER; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. edward.smith05@imperial.ac.uk.
  • Müller EA; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. edward.smith05@imperial.ac.uk.
  • Craster RV; Department of Mathematics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
  • Matar OK; Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. edward.smith05@imperial.ac.uk.
Soft Matter ; 12(48): 9604-9615, 2016 Dec 06.
Article em En | MEDLINE | ID: mdl-27853798
ABSTRACT
Molecular dynamics simulations are employed to develop a theoretical model to predict the fluid-solid contact angle as a function of wall-sliding speed incorporating thermal fluctuations. A liquid bridge between counter-sliding walls is studied, with liquid-vapour interface-tracking, to explore the impact of wall-sliding speed on contact angle. The behaviour of the macroscopic contact angle varies linearly over a range of capillary numbers beyond which the liquid bridge pinches off, a behaviour supported by experimental results. Nonetheless, the liquid bridge provides an ideal test case to study molecular scale thermal fluctuations, which are shown to be well described by Gaussian distributions. A Langevin model for contact angle is parametrised to incorporate the mean, fluctuation and auto-correlations over a range of sliding speeds and temperatures. The resulting equations can be used as a proxy for the fully-detailed molecular dynamics simulation allowing them to be integrated within a continuum-scale solver.
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Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article