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Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets

The residual deposits usually left near the contact line after pinned sessile colloidal droplet evaporation are commonly known as a “coffee-ring” effect. However, there were scarce attempts to simulate the effect, and the realistic fully three-dimensional (3D) model is lacking since the complex dryi...

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Detalles Bibliográficos
Autores principales: Crivoi, A., Duan, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945784/
https://www.ncbi.nlm.nih.gov/pubmed/24603647
http://dx.doi.org/10.1038/srep04310
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author Crivoi, A.
Duan, Fei
author_facet Crivoi, A.
Duan, Fei
author_sort Crivoi, A.
collection PubMed
description The residual deposits usually left near the contact line after pinned sessile colloidal droplet evaporation are commonly known as a “coffee-ring” effect. However, there were scarce attempts to simulate the effect, and the realistic fully three-dimensional (3D) model is lacking since the complex drying process seems to limit the further investigation. Here we develop a stochastic method to model the particle deposition in evaporating a pinned sessile colloidal droplet. The 3D Monte Carlo model is developed in the spherical-cap-shaped droplet. In the algorithm, the analytical equations of fluid flow are used to calculate the probability distributions for the biased random walk, associated with the drift-diffusion equations. We obtain the 3D coffee-ring structures as the final results of the simulation and analyze the dependence of the ring profile on the particle volumetric concentration and sticking probability.
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spelling pubmed-39457842014-03-10 Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets Crivoi, A. Duan, Fei Sci Rep Article The residual deposits usually left near the contact line after pinned sessile colloidal droplet evaporation are commonly known as a “coffee-ring” effect. However, there were scarce attempts to simulate the effect, and the realistic fully three-dimensional (3D) model is lacking since the complex drying process seems to limit the further investigation. Here we develop a stochastic method to model the particle deposition in evaporating a pinned sessile colloidal droplet. The 3D Monte Carlo model is developed in the spherical-cap-shaped droplet. In the algorithm, the analytical equations of fluid flow are used to calculate the probability distributions for the biased random walk, associated with the drift-diffusion equations. We obtain the 3D coffee-ring structures as the final results of the simulation and analyze the dependence of the ring profile on the particle volumetric concentration and sticking probability. Nature Publishing Group 2014-03-07 /pmc/articles/PMC3945784/ /pubmed/24603647 http://dx.doi.org/10.1038/srep04310 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Crivoi, A.
Duan, Fei
Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets
title Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets
title_full Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets
title_fullStr Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets
title_full_unstemmed Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets
title_short Three-dimensional Monte Carlo model of the coffee-ring effect in evaporating colloidal droplets
title_sort three-dimensional monte carlo model of the coffee-ring effect in evaporating colloidal droplets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945784/
https://www.ncbi.nlm.nih.gov/pubmed/24603647
http://dx.doi.org/10.1038/srep04310
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