Journal
JOURNAL OF COLLOID AND INTERFACE SCIENCE
Volume 584, Issue -, Pages 622-633Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2020.10.057
Keywords
Droplets; Soluble surfactants; Evaporation; Lubrication approximation; Marangoni flow
Categories
Funding
- Canon Production Printing
- University of Twente
- Eindhoven University of Technology
- Topconsortia voor Kennis en Innovatie (TKI) from Ministry of Economic Affairs
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The study shows that stronger evaporation, slower adsorption kinetics, and lower solubility of surfactants tend to suppress the Marangoni circulation. Diffusion and the formation of micelles also have an impact on Marangoni flow, with micelles sometimes enhancing circulatory behavior.
Hypothesis: Soluble surfactants in evaporating sessile droplets can cause a circulatory Marangoni flow. However, it is not straightforward to predict for what cases this vortical flow arises. It is hypothesized that the occurrence of Marangoni circulation can be predicted from the values of a small number of dimensionless parameters. Simulations: A numerical model for the drop evolution is developed using lubrication theory. Surfactant transport is implemented by means of convection-diffusion-adsorption equations. Results are compared to literature. Findings: It is shown that stronger evaporation, slower adsorption kinetics and lower solubility of the surfactants all tend to increasingly suppress Marangoni circulation. These results are found to be consistent with both experimental and numerical results from literature and can explain qualitative differences in flow behavior of surfactant-laden droplets. Furthermore, diffusion also tends to counteract Marangoni flow, where bulk diffusion has a more significant influence than surface diffusion. Also, the formation of micelles is found to slightly suppress Marangoni circulation. Experimental results from literature, however, show that in some cases circulatory behavior is enhanced by micelles, possibly even resulting in qualitative changes in the flow. Potential explanations for these differences are given and extensions to the model are suggested to improve its consistency with experiments. (C) 2020 The Author(s). Published by Elsevier Inc.
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