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  • 1
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: The behavior of the magnetization of a fine particle system is partly determined by the interaction effects between the grains. In a previous study by El-Hilo et al., the magnetic particles were considered to be randomly distributed. Many fine particle systems are expected to exhibit a microstructure that has been influenced by intergrain interactions. This effect on the microstructure will be important during the formation of the solid where the magnetic particles exhibit significant mobility. We have developed a 3D Monte Carlo model of a fluid dispersion which after reaching equilibrium is then allowed to "freeze'' to produce a fine particle system with microstructures which vary from clusters in the case of zero field to chains of particles in the saturated field case. This provides an excellent model system for the study of interaction effects. Our previous model is then used to study the resulting magnetic properties of the materials. These include the remanence curves in addition to the hysteresis loops. The local microstructure is shown to have a significant effect on the δI plots which are often used to characterize interaction effects. The simulation of the systems in a solid matrix exhibits an interaction dependent magnetic after effect. Because of the interaction fields, the magnetic configuration also changes with time following a change in temperature leading to a "waiting time'' dependence of magnetic properties, an effect also found in spin glasses. © 1996 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 75 (1994), S. 5574-5576 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: A computational simulation of a dispersion of iron particles undertaken to study the influence of the magnetostatic interactions on the microstructure of a particle ensemble is reported herein. The simulation considers an equilibrium state derived from an initial random state by the force-bias Monte Carlo technique. This method favors particle moves in the direction of the magnetostatic forces. A three dimensional ensemble in zero field and a saturating field are studied. An approach which takes into account the magnetostatic interactions between clusters by allowing Monte Carlo moves of whole clusters has been developed. This approach leads to the formation of extended networks consisting of particles in strongly bound clusters which themselves interact and give rise to an extended network. This is similar to the long-range order observed in practical dispersions. The structure analysis is found to characterize the local order, being especially sensitive to anisotropy in the order produced by an aligning field.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 81 (1997), S. 3818-3820 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: A molecular dynamic model of the properties of a strongly interacting particulate dispersion is described. The model is applied to the study of the properties of a dispersion of advanced metal particles from the intrinsic magnetic behavior through the effects of shear and orientation during the coating process to a final description of the microstructure of the coated medium. The predicted magnetic properties of the dispersion, calculated from the physical properties of the particles and medium, give excellent agreement with experiment. Initial predictions of the effects of shear show the model to be a useful basis for the interpretation of shear magnetometry. Following the "model" coating process the model gives realistic predictions of the microstructure of coated media. © 1997 American Institute of Physics.
    Type of Medium: Electronic Resource
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