Published October 10, 2001 | Version Submitted
Journal Article Open

Analysis of Shear Layers in a Fluid with Temperature-Dependent Viscosity

Abstract

The presence of viscosity normally has a stabilizing effect on the flow of a fluid. Howerver, experiments show that the flow of a fluid in which viscosity decreases as temperature increases tends to form shear layers, narrow regions in which the velocity of the fluid changes sharply. In general, adiabatic shear layers are observed not only in fluids but also in thermo-plastic materials subject to shear at a high-strain rate and in combustion and there is widespread interest in modeling their formation. In this paper, we investigate a well-known model representing a basic system of conservation laws for a one-dimensional flow with temperature-dependent viscosity using a combination of analytical and numerical tools. We present results to substantiate the claim that the formation of shear layers can only occur in solutions of the model when the viscosity decreases sufficiently quickly as temperature increases and we further analyze the structure and stability properties of the layers.

Additional Information

© 2001 Academic Press. Received 3 October 2000, Revised 12 April 2001. The research of D. Estep is partially supported by The National Science Foundation, DMS 9506519, and the North Atlantic Treaty Organization, CRG 970189. The research of S. Verduyn Lunel is partially supported by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO 600-61-410, and the North Atlantic Treaty Organization, CRG 970189. The authors gratefully thank Andrew Stuart for advice on constructing numerical methods that preserve conserved quantities and Bert Peletier for stimulating discussions.

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Additional details

Identifiers

Eprint ID
28195
Resolver ID
CaltechCACR:2001.191

Funding

NSF
DMS-9506519
North Atlantic Treaty Organization (NATO)
CRG 970189
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
NWO 600-61-410

Dates

Created
2004-11-22
Created from EPrint's datestamp field
Updated
2021-11-09
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Center for Advanced Computing Research