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Low-order modelling of thick films on highy curved substrates Wray, Alex
Description
Talk: Regular Abstract: Low-order modelling of the flow of fluid films has typically relied on the assumption that the thickness of a fluid is `small’ relative to both the characteristic wavelengths involved in the flow, and relative to the radius of curvature of the substrate. This is a significant imposition as many flows do not obey these constraints. Under a long-wave approximation, we use a symbolic algebra package to derive low-order models for low-order models of thick flows on substrates that are highly curved. We demonstrate that these models have a high degree of accuracy via comparison against direct numerical simulations.
Item Metadata
Title |
Low-order modelling of thick films on highy curved substrates
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2016-08-09T11:33
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Description |
Talk: Regular
Abstract: Low-order modelling of the flow of fluid films has typically relied on the assumption that the thickness of a fluid is `small’ relative to both the characteristic wavelengths involved in the flow, and relative to the radius of curvature of the substrate. This is a significant imposition as many flows do not obey these constraints. Under a long-wave approximation, we use a symbolic algebra package to derive low-order models for low-order models of thick flows on substrates that are highly curved. We demonstrate that these models have a high degree of accuracy via comparison against direct numerical simulations.
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Extent |
22 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Imperial College
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Series | |
Date Available |
2017-02-07
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0342685
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Postdoctoral
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International