A particle-level discrete element model for simulating the performance of MRFs

IF 2.4 3区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Keshun Qi, Nie Meng, Jinhuan Xu, Meixuan Wang
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引用次数: 0

Abstract

The particle dynamics model of MRFs (MRFs) is based on the discrete element technique, which takes into account essential MRF variables such as magnetic field, particle parameters, particle volume fraction, carrier fluid properties, and other parameters. Firstly, to digitally characterize the microstructure of MRFs, the particle coordination number, as a new perspective is creatively proposed. The validity and predictability of the created model are then tested in conjunction with the rheological performance studies by comparing it to the known continuous medium model. Finally, based on the proposed model, the influence of each influencing factor on the magnetorheological effect is simulated and regularity analysis is given from the perspective of particles. Linking macroscopic qualities and MRF microstructure, which offers a theoretical basis for the preparation of MRFs with improved performance and prediction of performance under various working situations.
用于模拟 MRF 性能的颗粒级离散元件模型
磁共振流场(MRFs)的粒子动力学模型基于离散元技术,考虑了磁共振流场的基本变量,如磁场、粒子参数、粒子体积分数、载流体性质和其他参数。首先,为数字化表征 MRF 的微观结构,创造性地提出了粒子配位数这一新视角。然后,通过与已知的连续介质模型进行比较,结合流变性能研究对所创建模型的有效性和可预测性进行了测试。最后,根据提出的模型,模拟了各影响因素对磁流变效果的影响,并从颗粒的角度给出了规律性分析。将宏观质量和磁流变微观结构联系起来,为制备性能更好的磁流变材料和预测各种工作情况下的性能提供了理论依据。
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来源期刊
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures 工程技术-材料科学:综合
CiteScore
5.40
自引率
11.10%
发文量
126
审稿时长
4.7 months
期刊介绍: The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.
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