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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.
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.
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.
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