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Probing shear-banding transitions of the VCM model for entangled wormlike micellar solutions using large amplitude oscillatory shear (LAOS) deformations
▶ Probe shear-banding dynamics of models under LAOS (Large Amplitude Oscillatory Shear). ▶ LAOS predictions of a two-species model of entangled wormlike micellar mixtures. ▶ Assemble responses of shear-banded wormlike micelles to LAOS in Pipkin diagram. ▶ Lissajous phase planes for the VCM (Vasquez,...
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Published in: | Journal of non-Newtonian fluid mechanics 2010-11, Vol.165 (21), p.1462-1472 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | ▶ Probe shear-banding dynamics of models under LAOS (Large Amplitude Oscillatory Shear). ▶ LAOS predictions of a two-species model of entangled wormlike micellar mixtures. ▶ Assemble responses of shear-banded wormlike micelles to LAOS in Pipkin diagram. ▶ Lissajous phase planes for the VCM (Vasquez, Cook, McKinley) two-species models. ▶ Comparison of elastic/viscous Chebyshev coefficient response for a VCM model.
We explore the use of large amplitude oscillatory shear (LAOS) deformation to probe the dynamics of shear-banding in soft entangled materials, primarily wormlike micellar solutions which are prone to breakage and disentanglement under strong deformations. The state of stress in these complex fluids is described by a class of viscoelastic constitutive models which capture the key linear and nonlinear rheological features of wormlike micellar solutions, including the breakage and reforming of an entangled network. At a frequency-dependent critical strain, the imposed deformation field localizes to form a shear band, with a phase response that depends on the frequency and amplitude of the forcing. The different material responses are compactly represented in the form of Lissajous (phase plane) orbits and a corresponding strain-rate and frequency-dependent Pipkin diagram. Comparisons between the full network model predictions and those of a simpler, limiting case are presented. |
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ISSN: | 0377-0257 1873-2631 |
DOI: | 10.1016/j.jnnfm.2010.07.009 |