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Numerical simulation of dip-coating in the evaporative regime

Overview of attention for article published in The European Physical Journal E, February 2016
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35 Mendeley
Title
Numerical simulation of dip-coating in the evaporative regime
Published in
The European Physical Journal E, February 2016
DOI 10.1140/epje/i2016-16019-4
Pubmed ID
Authors

Mohar Dey, Frédéric Doumenc, Béatrice Guerrier

Abstract

A hydrodynamic model is used for numerical simulations of a polymer solution in a dip-coating-like experiment. We focus on the regime of small capillary numbers where the liquid flow is driven by evaporation, in contrast to the well-known Landau-Levich regime dominated by viscous forces. Lubrication approximation is used to describe the flow in the liquid phase. Evaporation in stagnant air is considered (diffusion-limited evaporation), which results in a coupling between liquid and gas phases. Self-patterning due to the solutal Marangoni effect is observed for some ranges of the control parameters. We first investigate the effect of evaporation rate on the deposit morphology. Then the role of the spatial variations in the evaporative flux on the wavelength and mean thickness of the dried deposit is ascertained, by comparing the 2D and 1D diffusion models for the gas phase. Finally, for the very low substrate velocities, we discuss the relative importance of diffusive and advective components of the polymer flux, and consequences on the choice of the boundary conditions.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 17%
Student > Ph. D. Student 4 11%
Lecturer 2 6%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Other 6 17%
Unknown 13 37%
Readers by discipline Count As %
Engineering 6 17%
Business, Management and Accounting 2 6%
Chemical Engineering 2 6%
Physics and Astronomy 2 6%
Chemistry 2 6%
Other 5 14%
Unknown 16 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 February 2016.
All research outputs
#15,821,622
of 23,498,099 outputs
Outputs from The European Physical Journal E
#395
of 650 outputs
Outputs of similar age
#178,919
of 300,078 outputs
Outputs of similar age from The European Physical Journal E
#10
of 15 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 300,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.