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<p>Magnetic interactions between metallic granular particles can lead to magnetic cohesion, influencing the flow characteristics of granular media. This magnetic cohesion has been studied in the context of Magneto-Rheological Fluids (MRFs) for their unique flow properties and their use across multiple industries. In Planetary Science, magnetic cohesion can influence regolith behavior on metallic asteroids with remnant magnetic fields. The upcoming NASA Psyche mission will study the metallic asteroid 16-Psyche, which is expected to have a surface magnetic field. Modeling and simulating the effect of magnetic cohesion on granular media is crucial for accurately simulating the behavior of magnetic granular materials in both terrestrial and planetary applications. We introduce an improved magnetic force model in LIGGGHTS, an open-source discrete element modeling software, to calculate magnetic forces between paramagnetic grains. The model is based on the Mutual Dipole Method and the Inclusion Model, extensions of the Fixed Dipole Method. We validate the model using 1-D unit tests and compare the results of avalanche simulations of paramagnetic regolith with experimental data. This work contributes to understanding the role of magnetic cohesion in small body surface processes and provides a tool for future studies of magnetic granular materials in DEM.</p>

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An experimentally validated magnetic force model for discrete element modeling of paramagnetic granular media

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月7日

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  • Anmol Sikka,
  • Christine Hartzell

摘要

Magnetic interactions between metallic granular particles can lead to magnetic cohesion, influencing the flow characteristics of granular media. This magnetic cohesion has been studied in the context of Magneto-Rheological Fluids (MRFs) for their unique flow properties and their use across multiple industries. In Planetary Science, magnetic cohesion can influence regolith behavior on metallic asteroids with remnant magnetic fields. The upcoming NASA Psyche mission will study the metallic asteroid 16-Psyche, which is expected to have a surface magnetic field. Modeling and simulating the effect of magnetic cohesion on granular media is crucial for accurately simulating the behavior of magnetic granular materials in both terrestrial and planetary applications. We introduce an improved magnetic force model in LIGGGHTS, an open-source discrete element modeling software, to calculate magnetic forces between paramagnetic grains. The model is based on the Mutual Dipole Method and the Inclusion Model, extensions of the Fixed Dipole Method. We validate the model using 1-D unit tests and compare the results of avalanche simulations of paramagnetic regolith with experimental data. This work contributes to understanding the role of magnetic cohesion in small body surface processes and provides a tool for future studies of magnetic granular materials in DEM.