介观物理学
磁流变液
材料科学
粒子(生态学)
磁性纳米粒子
不对称
工作(物理)
机械
旋转(数学)
复杂流体
纳米技术
物理
经典力学
纳米颗粒
生物系统
统计物理学
磁场
计算机科学
凝聚态物理
热力学
海洋学
量子力学
人工智能
地质学
生物
作者
Kang Wang,Bing Liu,Xinyu Lian,Shouhu Xuan,Huaxia Deng,Xinglong Gong
出处
期刊:Langmuir
[American Chemical Society]
日期:2024-01-18
卷期号:40 (12): 6187-6197
被引量:2
标识
DOI:10.1021/acs.langmuir.3c03538
摘要
The magnetorheological effect is a critically important mechanical property of magnetic fluids. Accurately capturing the macroscopic properties of magnetorheological fluids with elongated particle forms, such as nanosphere chains, remains a challenging task, particularly due to the complexities arising from particle asymmetry. Traditional particle dynamics primarily utilize spherical particles as computational units, but this approach can lead to significant inaccuracies, especially when analyzing nonspherical magnetorheological fluids, due to the neglect of particle asymmetry. In this work, an advanced particle dynamics model has been developed by integrating the rotation and collision of these asymmetric particles, specifically tailored for the configuration of nanosphere chains. This model exhibits a significant reduction in error by a factor of 3.883, compared to conventional particle models. The results demonstrate that alterations in the geometric characteristics of magnetic nanosphere chains can cause changes in mesoscopic structures and magnetic potential energy, thereby influencing the mechanical properties at the macroscopic level. This work has developed an accurate mesoscopic simulation method for calculating chain-type magnetorheological fluids, establishing a connection between mesoscopic structures and macroscopic properties, and unveiling the tremendous potential for accelerating the design of next-generation magnetic fluids using this approach.
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