A single parameter can predict surfactant impairment of superhydrophobic drag reduction
Fernando Temprano-Coleto, Scott M. Smith, Fran\c{c}ois J. Peaudecerf,, Julien R. Landel, Fr\'ed\'eric Gibou, Paolo Luzzatto-Fegiz

TL;DR
This paper develops a predictive model showing that a single parameter, the ratio of grating length to interface length scale, can forecast surfactant-induced drag impairment on superhydrophobic surfaces, supported by simulations and experiments.
Contribution
The study introduces a model linking surfactant effects on superhydrophobic drag reduction to a single key parameter, enabling better prediction and mitigation strategies.
Findings
Surfactant effects are governed by the ratio of grating length to interface length scale.
Trace surfactants can significantly impair drag reduction if highly surface active.
The model accurately predicts experimental and simulation results across various conditions.
Abstract
Recent experimental and computational investigations have shown that trace amounts of surfactants, unavoidable in practice, can critically impair the drag reduction of superhydrophobic surfaces (SHSs), by inducing Marangoni stresses at the air-liquid interface. However, predictive models for realistic SHS geometries do not yet exist, which has limited the understanding and mitigation of these adverse surfactant effects. To address this issue, we derive a model for laminar, three-dimensional flow over SHS gratings as a function of geometry and soluble surfactant properties, which together encompass 10 dimensionless groups. We establish that the grating length is the key geometric parameter and predict that the ratio between actual and surfactant-free slip increases with . Guided by our model, we perform synergistic numerical simulations and microfluidic experiments, finding good…
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