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Numerical stochastic model for the magnetic relaxation time of the fine particle system with dipolar interactions

机译:偶极相互作用的细颗粒系统磁弛豫时间的数值随机模型

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This paper presents the results obtained by numerical simulations, the magnetic relaxation time simulation for a fine particle system with dipolar magnetic interaction. We used a 3D simulation model for fine magnetic particles with spherical shape and lognormal distribution for their diameters. Starting from Dormann-Bessais-Fiorani model, the 3D model we used is more realistic if we consider that the particles are randomly arranged into a preset volume, following a Gaussian distribution generated with the Box-Mueller transformation. Concerning the dependency of the average relaxation time on temperature and on the dispersion of the particle diameter's logarithm, the analysis is achieved for three cases: without interaction, weak dipolar magnetic interaction, and strong dipolar magnetic interaction between particles. We found that the average relaxation time for the fine particle system decreases by temperature's increasing and the average relaxation time grows by the growth of the dispersion of the random "ln d" variable.
机译:本文介绍了通过数值模拟获得的结果,即具有偶极磁相互作用的细颗粒系统的磁弛豫时间模拟。我们使用了3D仿真模型,用于直径为球形和对数正态分布的细磁性颗粒。从Dormann-Bessais-Fiorani模型开始,如果我们考虑遵循Box-Mueller变换生成的高斯分布,将粒子随机排列到预设的体积中,那么我们使用的3D模型将更为现实。关于平均弛豫时间对温度和粒径对数的离散度的依赖性,在三种情况下进行了分析:无相互作用,弱的偶极磁相互作用和颗粒之间的强偶极磁相互作用。我们发现细颗粒系统的平均弛豫时间随温度的升高而减少,平均弛豫时间随随机“ ln d”变量的离散度的增长而增长。

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