Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Asymptotic analysis of the evaporation dynamics of partially wetting droplets

Savva, Nikos ORCID: https://orcid.org/0000-0003-1549-3154, Rednikov, Alexey and Colinet, Pierre 2017. Asymptotic analysis of the evaporation dynamics of partially wetting droplets. Journal of Fluid Mechanics 824 , pp. 574-623. 10.1017/jfm.2017.330

[thumbnail of EvaporationJFM.pdf]
Preview
PDF - Accepted Post-Print Version
Download (1MB) | Preview

Abstract

We consider the dynamics of an axisymmetric, partially wetting droplet of a one-component volatile liquid. The droplet is supported on a smooth superheated substrate and evaporates into a pure vapour atmosphere. In this process, we take the liquid properties to be constant and assume that the vapour phase has poor thermal conductivity and small dynamic viscosity so that we may decouple its dynamics from the dynamics of the liquid phase. This leads to a so-called ‘one-sided’ lubrication-type model for the evolution of the droplet thickness, which accounts for the effects of evaporation, capillarity, gravity, slip and kinetic resistance to evaporation. By asymptotically matching the flow near the contact line region and the bulk of the droplet in the limit of a small slip length and commensurably small evaporation and kinetic resistance effects, we obtain coupled evolution equations for the droplet radius and volume. The predictions of our asymptotic analysis, which also include an estimate of the evaporation time, are found to be in excellent agreement with numerical simulations of the governing lubrication model for a broad range of parameter regimes.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Publisher: Cambridge University Press
ISSN: 0022-1120
Date of First Compliant Deposit: 21 September 2017
Date of Acceptance: 15 May 2017
Last Modified: 07 Nov 2023 06:12
URI: https://orca.cardiff.ac.uk/id/eprint/104916

Citation Data

Cited 9 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics