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Numerical modelling and analysis of forcs of magnetorheological compositesтезисы доклада Тезисы
- Авторы: Isaev D., Makarova L., Alekhina Y., Perov N.
- Сборник: Book of abstracts of The Joint European Magnetic Sumposia (JEMS 2020), 7-11 december, Virtual
- Тезисы
- Год издания: 2020
- Первая страница: 396
- Последняя страница: 396
- Аннотация: We present results of numerical simulations of FORCs [1] of magnetorheological elastomers (MRE). First-Order Reversal Curves (FORCs) is effective tool to characterize hysteretical behaviour of material and analyze its magnetic intrinsic interactions.MRE are well known for their properties to be strong depended on particles distribution in the elastic matrix. In this work we consider systems of “simple patterns” with particles being arranged in different structures, such as chains, clusters of different morphology and grids. We analyze properties, FORCs and switching field distributions (SFD) of such systems and compare them with “bulk” systems simulating real-life samples.To calculate particle redistribution in the system molecular dynamic approach was used. To calculate particles positions Verlet integration [2] was used. We considered dipole-dipole model for particle-particle interaction and “springs” [3] model for particle-matrix elastic interaction. We also consider effects of magnetic anisotropy and influence of particles size distribution.In the model “bulk” magnetorheological system consists of up to 100000 particles. We consider systems varying concentration of magnetic filler, size and space distribution of particles, elastic properties of the matrix. For simulation of the presented model and visualization of the system tool was designed using C++ and Python programming languages.The reported study was funded by the President of the Russian Federation Grant Number МК-716.2020.2. Authors acknowledge the Russian Academic Excellence Project at the Immanuel Kant Baltic Federal University.
- Добавил в систему: Макарова Людмила Александровна