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Related Experiment Video

Updated: Dec 24, 2025

Combining Microfluidics and Microrheology to Determine Rheological Properties of Soft Matter during Repeated Phase Transitions
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Microstructure Simulation and Constitutive Modelling of Magnetorheological Fluids Based on the Hexagonal Close-packed

Jintao Zhang1, Wanli Song1, Zhen Peng1

  • 1School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.

Materials (Basel, Switzerland)
|April 9, 2020
PubMed
Summary

This study introduces a new model for magnetorheological fluids (MRFs) using a hexagonal close-packed structure to predict shear yield stress in highly concentrated particle systems. The model accurately reflects particle microstructures under magnetic fields, outperforming existing single-chain models.

Keywords:
constitutive modelinghexagonal close-packed structuremagnetorheological fluidsmicrostructureparticle dynamics analysis

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Area of Science:

  • Materials Science
  • Fluid Dynamics
  • Rheology

Background:

  • Magnetorheological fluids (MRFs) exhibit significant changes in viscosity under magnetic fields.
  • Existing models often simplify particle structures, limiting accuracy for high particle concentrations.

Purpose of the Study:

  • To develop a novel constitutive model for highly concentrated MRFs based on hexagonal close-packed particle structures.
  • To accurately predict the field-dependent shear yield stress of MRFs.

Main Methods:

  • Particle dynamic simulations to analyze carbonyl iron powder (CIP) particle chain formation.
  • Formulation of a constitutive model utilizing hexagonal close-packed structure analysis.
  • Experimental validation considering magnetic induction intensity, particle volume fraction, radius, and surfactant coating thickness.

Main Results:

  • The proposed hexagonal close-packed model shows superior prediction accuracy for field-dependent shear yield stress compared to the single-chain model.
  • Shear yield stress increases with higher particle volume fraction and decreased surfactant coating thickness.
  • The model effectively captures the influence of particle microstructure on MRF behavior.

Conclusions:

  • The developed constitutive model provides a more accurate representation of MRF behavior at high particle concentrations.
  • This model can be effectively utilized for estimating the field-dependent shear yield stress in iron particle-based MRFs.
  • Understanding particle chain formation and microstructure is crucial for MRF performance prediction.