Low-order models for the drag reduction of surfactant-contaminated superhydrophobic surfaces

ORAL

Abstract

In a recent study, Peaudecerf et al. (PNAS 2017) showed that surfactant can decrease the drag-reduction performance of superhydrophobic surfaces (SHS). As SHS could have a large impact in reducing energy utilisation for many internal and external flow applications, it is important to understand and predict how surfactant-Marangoni stresses affect the flow over SHS. We present a semi-analytical model solving Stokes flow over an SHS, coupled with surfactant transport in the bulk and at the interface using modified Frumkin kinetics. We consider both a Poiseuille flow in a two-dimensional channel with a periodic array of plastrons on one side and a two-dimensional shear flow over a flat solid surface with a periodic array of plastrons. We find that at low surfactant concentration this complex nine non-dimensional parameter model can be reduced to eight parameters by combining the Marangoni number and the normalised concentration. At steady state, we obtain a prediction of the Marangoni shear stress due to the concentration gradient of the surfactant adsorb onto the plastron, assuming a uniform shear stress along the plastron. We compare the model with finite-element numerical simulations of the full transport problem. Good agreement is found for a large range of geometries, flow conditions and surfactant properties.

Authors

  • Julien R Landel

    • University of Manchester
    • School of Mathematics, University of Manchester
  • F. Peaudecerf

    • University of Cambridge
  • R. Goldstein

    • University of Cambridge
  • F. Temprano-Coleto

    • UC Santa Barbara
  • F. Gibou

    • UC Santa Barbara
  • P. Luzzatto-Fegiz

    • UC Santa Barbara