Marangoni circulation in evaporating droplets in the presence of soluble surfactants

JOURNAL OF COLLOID AND INTERFACE SCIENCE

卷:584

Article

van Gaalen, R. T.¹  Diddens, C.^1,3  Wijshoff, H. M. A.^1,2  Kuerten, J. G. M.¹ 

[1] Eindhoven Univ Technol, Dept Mech Engn, POB 513, NL-5600 MB Eindhoven, Netherlands

[2] Canon Prod Printing Netherlands BV, POB 101, NL-5900 MA Venlo, Netherlands

[3] Univ Twente, Fac Sci & Technol TNW, POB 217, NL-7500 AE Enschede, Netherlands

关键词: Droplets;    Soluble surfactants;    Evaporation;    Lubrication approximation;    Marangoni flow;   

DOI  :  10.1016/j.jcis.2020.10.057

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

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