Radushnov Dmitry I, Solovyova Anna Yu, Elfimova Ekaterina A
Institute of Natural Sciences and Mathematics, Ural Federal University, 51 Lenin Avenue, Ekaterinburg 620000, Russia.
Polymers (Basel). 2023 Jun 14;15(12):2678. doi: 10.3390/polym15122678.
When using magnetopolymer composites in high-precision industrial and biomedical technologies, the problem of predicting their properties in an external magnetic field arises. In this work, we study theoretically the influence of the polydispersity of a magnetic filler on a composite's equilibrium magnetization and on the orientational texturing of magnetic particles formed during polymerization. The results are obtained using rigorous methods of statistical mechanics and Monte Carlo computer simulations in the framework the bidisperse approximation. It is shown that by adjusting the dispersione composition of the magnetic filler and the intensity of the magnetic field at which the sample's polymerization occurs, it is possible to control the composite's structure and magnetization. The derived analytical expressions determine these regularities. The developed theory takes into account dipole-dipole interparticle interactions and therefore can be applied to predict the properties of concentrated composites. The obtained results are a theoretical basis for the synthesis of magnetopolymer composites with a predetermined structure and magnetic properties.
在高精度工业和生物医学技术中使用磁聚合物复合材料时,会出现预测其在外部磁场中性能的问题。在这项工作中,我们从理论上研究了磁性填料的多分散性对复合材料平衡磁化强度以及聚合过程中形成的磁性颗粒取向织构的影响。结果是在双分散近似框架下,使用统计力学的严格方法和蒙特卡罗计算机模拟获得的。结果表明,通过调整磁性填料的分散组成以及样品聚合时的磁场强度,可以控制复合材料的结构和磁化强度。推导得到的解析表达式确定了这些规律。所发展的理论考虑了粒子间的偶极 - 偶极相互作用,因此可用于预测浓复合材料的性能。所获得的结果为合成具有预定结构和磁性的磁聚合物复合材料提供了理论基础。