Influence of near-field effect on magnetic hysteresis in magneto-active elastomers

TL;DR

This paper develops a multiscale theoretical model to understand magnetic hysteresis in magneto-active elastomers, emphasizing microstructure evolution and near-field particle interactions under magnetic fields.

Contribution

It introduces a comprehensive framework that accounts for microstructural changes and near-field effects to explain hysteresis in MAEs, aiding material design.

Findings

Hysteresis mainly results from microstructural rearrangements.

Particle volume fraction and matrix stiffness significantly affect hysteresis width.

Near-field effects are crucial for accurate modeling of particle interactions.

Abstract

Magneto-active elastomers (MAEs) are polymer composites consisting of magnetic microparticles embedded in an elastomeric matrix. These materials exhibit strong magneto-mechanical coupling under external magnetic fields, resulting in tunable stiffness, reversible shape changes, and nonlinear magnetic responses. This study presents a multiscale theoretical framework to investigate the origin of magnetic hysteresis in MAEs, with emphasis on the evolution of the internal microstructure during magnetization and demagnetization. The total energy of the system is formulated as the sum of magnetic and micromechanical contributions, while macroscopic deformation of a cylindrical MAE sample is fully constrained. Particle interactions are modeled first via pure dipole-dipole interactions and then extended to include higher-order near-field effects at close particle separations. The results show that hysteresis in MAEs with magnetically soft particles primarily arises from trapped microstructural rearrangements, leading to distinct particle configurations under increasing and decreasing magnetic fields. Parametric studies demonstrate that particle volume fraction, sample aspect ratio, and matrix stiffness strongly influence the microstructure evolution and the width of resulting hysteresis loops. The proposed framework provides a solid foundation for modeling magnetic hysteresis, which is essential for the design and optimization of MAEs in practical applications.