| INORGANIC MATERIALS AND CERAMIC MATRIX COMPOSITES |
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| Microstructural Evolution and Aggregation Kinetics of Magnetorheological Suspensions Based on Molecular Dynamics Simulations |
| PEI Pei1,2, PENG Yongbo1,3
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1 State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
2 College of Civil Engineering, Tongji University, Shanghai 200092, China
3 Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China |
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Abstract Magnetorheological (MR) fluids have been regarded as a promising intelligent material with wide application prospect due to their excellent mechanical property and efficient controllability. The bulk rheology of MR fluids is closely related to their microstructures. In this context, LAMMPS is used to investigate the microstructural evolution of MR suspensions with different volume fractions under different magnetic fields, based on which the macro mechanical property of MR suspensions was analyzed. Then qualitative observation and quantitative analysis were conducted on the microstructures of MR suspensions with different simulation parameters (volume fraction, magnetic fields and shear strain). The associated mechanism was revealed and the statistical property of chain dip angles was addressed. This research has provided a theoretical basis for further revealing the correlation of microstructural evolution and macro mechanical property of MR fluids as well as designing and optimizing MR fluid materials and devices.
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Published: 01 July 2021
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| Fund:National Natural Science Foundation of China (51878505). |
About author:: Pei Pei, a Ph.D. candidate in College of Civil Engineering, Tongji University. She is focusing on the multiscale analysis of magnetorheological fluid dampers and its application in semi-active structural control.
Yongbo Peng, Ph.D., a full professor of Shanghai Institute of Disaster Prevention and Relief, Tongji University. His research interests include structural control, intelligent materials and structures, and uncertainty quantification. |
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2021, Vol. 35 
