Micro-macro modeling of polymeric fluids and shear-induced microscopic behaviors with bond-breaking

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2024-10-01

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Abstract

This paper explores the micro-macro modeling of polymeric fluids using the proposed microscopic elastic-plastic (EP) potential energy, in order to illustrate the effects of irreversible bond-breaking of microscopic polymer chains. Precisely, we first revisit the derivation of a thermodynamically consistent micro-macro model using the energy variational method. To demonstrate the model's predictions, we perform numerical simulations using a deterministic particle finite element method. Our numerical investigations reveal the behaviors of polymer chains with irreversible bond breaking at the microscale and their influence on induced shear stresses and macroscale velocities under shear flow. We also conduct numerical investigations with other classical microscopic potential energies as a comparison, including the Hookean, the FENE (finite extensible nonlinear elastic), and the modified Morse potentials, involving pure elastic, finite extension. and reversible bond breaking, respectively. We find that polymer elongation, rotation, and bond breaking contribute to differences in polymer-induced stresses and velocities in the micro-macro models. Additionally, we observe that at high shear rates, polymer rotation induces shear-thinning behavior in the micro-macro models.

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Published Version (Please cite this version)

10.1103/PhysRevFluids.9.103301

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Bao, X, H Huang, Z Song and S Xu (2024). Micro-macro modeling of polymeric fluids and shear-induced microscopic behaviors with bond-breaking. Physical Review Fluids, 9(10). 10.1103/PhysRevFluids.9.103301 Retrieved from https://hdl.handle.net/10161/33539.

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Scholars@Duke

Xu

Shixin Xu

Assistant Professor of Mathematics at Duke Kunshan University

Shixin Xu is an Assistant Professor of Mathematics whose research spans several dynamic and interconnected fields. His primary interests include machine learning and data-driven models for disease prediction, multiscale modeling of complex fluids, neurovascular coupling, homogenization theory, and numerical analysis. His current projects reflect a diverse and impactful portfolio:

  • Developing predictive models based on image data to identify hemorrhagic transformation in acute ischemic stroke.
  • Conducting electrodynamics modeling of saltatory conduction along myelinated axons to understand nerve impulse transmission.
  • Engaging in electrochemical modeling to explore the interactions between electric fields and chemical processes.
  • Investigating fluid-structure interactions with mass transport and reactions, crucial for understanding physiological and engineering systems.

These projects demonstrate his commitment to addressing complex problems through interdisciplinary approaches that bridge mathematics with biological and physical sciences.


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