Interfacial dynamics of viscoelastic fluid flows

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Publication Date
DOI 10.1039/A809464K
Impact Factor 3.676
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Abstract

The constitutive instability of the Johnson–Segalman (JS) model has been studied in order to understand the shear banding and the spurt effect of viscoelastic fluid flows. We have applied a new model, which incorporates a higher order gradient term of the deformation-rate tensor into the JS model, to investigate the dynamics of the mechanical interface induced by the constitutive instability. Computer modelling of two-dimensional Couette and Poiseuille flows has been carried out by a general Lagrangian–Eulerian scheme. It can track explicitly the evolution of the band structure under flow. Our results show that the new term plays an important role in selecting the steady state shear stress in the unstable region. The period of reaching the steady state can be 20 or more times longer than the intrinsic relaxation time of the JS fluid. We have verified experimental evidences on the existence of a mechanical metastable region, over which hysteresis in the flow curve might occur. The model reproduces many features of the experimental results.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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