4.7 Article

Analysis of vapor-driven solutal Marangoni flows inside a sessile droplet

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijheatmasstransfer.2020.120499

关键词

Vapor-driven solutal Marangoni effect; Particle image velocimetry; Analytical solution; Flow control by changing boundary condition

资金

  1. Basic Science Research Program through the National Research Foundation of Korea - Ministry of Science [NRF-2018R1C1B6004190, NRF-2019M1A7A1A02089979]
  2. National Research Foundation of Korea [2019M1A7A1A02089979] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

The study demonstrates that the internal flow pattern inside a sessile droplet can be controlled by adjusting the position and number of volatile liquid sources. The theoretical model based on Stokes flow predicts the primary flow structures of the experimental results. The main conditions determining the internal flow include the distribution of vapor molecules and surface tension values depending on the concentration of the volatile liquid.
We study experimentally and theoretically how vapor-driven solutal Marangoni flows inside a sessile droplet are created. To measure the flow field, we perform a conventional particle image velocimetry (PIV). We show that the internal flow pattern can be controlled by the position and number of volatile liquid sources. To explain the mechanism, we develop a theoretical model based on Stokes flow, which predicts primary flow structures of experimental results. From the current study, we find two main conditions to determine the internal flow that are the distribution of the vapor molecules and the surface tension values depending on the concentration of the volatile liquid. From the analytical model, we successfully explain the mechanism of the solutal Marangoni flows induced by the volatile liquid components next to the sessile droplet, which can be used for optimization of the vapor-driven solutal Marangoni flow control and mixing. (C) 2020 Elsevier Ltd. All rights reserved.

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