English

Thermodynamically Consistent Continuum Theory of Magnetic Particles in High-Gradient Fields

Statistical Mechanics 2026-05-14 v1 Fluid Dynamics

Abstract

Magnetic particles underpin a broad range of technologies, from water purification and mineral processing to bioseparations and targeted drug delivery. The dynamics of magnetic particles in high-gradient magnetic fields-encompassing both their transport and eventual capture-arise from the coupled interplay of field-driven drift, fluid advection, and particle-field feedback. These processes remain poorly captured by existing models relying on empirical closures or discrete particle tracking. Here, we present a thermodynamically consistent continuum theory for collective magnetic particle transport and capture in high-gradient fields. The framework derives from a free-energy functional that couples magnetic energy, entropic mixing, and steric interactions, yielding a concentration-dependent susceptibility via homogenization theory. The resulting equations unify magnetism, mass transport, and momentum balances without ad hoc shut-off criteria, allowing field shielding, anisotropic deposition, and boundary-layer confinement to emerge naturally. Simulations predict canonical capture morphologies-axially aligned plumes, crescent-shaped deposits, and nonlinear shielding-across field strengths and flow regimes, consistent with trends reported in prior experimental and modeling studies. By organizing captured particle mass data into a dimensionless phase diagram based on the Mason number, we reveal three distinct regimes-thermodynamically controlled, transitional, and dynamically controlled. This perspective provides a predictive platform for in silico optimization and extension to three-dimensional geometries, and informing digital twin development for industrial-scale high-gradient magnetic separation processes.

Keywords

Cite

@article{arxiv.2510.07552,
  title  = {Thermodynamically Consistent Continuum Theory of Magnetic Particles in High-Gradient Fields},
  author = {Marko Tesanovic and Daniel M. Markiewitz and Marcus L. Popp and Martin Z. Bazant and Sonja Berensmeier},
  journal= {arXiv preprint arXiv:2510.07552},
  year   = {2026}
}
R2 v1 2026-07-01T06:25:16.434Z