Magnetorheological fluids: A concise review of composition, physicochemical properties, and models

被引:15
|
作者
Osial, Magdalena [1 ,3 ]
Pregowska, Agnieszka [1 ,3 ]
Warczak, Magdalena [2 ]
Giersig, Michael [1 ]
机构
[1] Polish Acad Sci, Inst Fundamental Technol Res, Warsaw, Poland
[2] Bydgoszcz Univ Sci & Technol, Fac Chem Technol & Engn, Dept Food Anal & Environm Protect, Bydgoszcz, Poland
[3] Polish Acad Sci, Inst Fundamental Technol Res, Pawinskiego 5B St, PL-02106 Warsaw, Poland
关键词
Magnetorheological Fluids (MRF); rheology; smart materials; intelligent fluid; functional materials; CARBONYL IRON MICROSPHERES; MAGNETIZABLE COLLOIDAL SUSPENSIONS; MAGNETO-RHEOLOGICAL FLUIDS; HOPKINSON PRESSURE BAR; PARTICLE-SIZE; YIELD-STRESS; ELECTRORHEOLOGICAL FLUIDS; SEDIMENTATION STABILITY; VIBRATION CONTROL; DYNAMIC-BEHAVIOR;
D O I
10.1177/1045389X231157357
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Magnetorheological fluids (MRFs) are classified as intelligent materials whose rheological and mechanical properties can be modified by interaction with an external magnetic field. These unique features allow for a controlled change of their viscosity, which is applied in technology to build adaptive devices and effectively suppress vibrations in various mechanical systems. In this paper, we overview and discuss our previous results regarding advances and physicochemical MRF properties in the context of broader literature. We concentrated on such properties as flow, yield strength, and viscoelastic behavior under shearing flows. We briefly discussed continuum and discrete MRFs modeling. Since the magnetic core is mainly based on iron or its compounds, depending on its chemical composition, morphology, stabilizing agents, and the liquid medium's viscosity, its rheological and micromechanical properties can be moderated. To predict the behavior of such a fluid, it is necessary to propose and implement an appropriate model. Simple models like Bingham can consider the quasi-static and dynamic behavior of the MRFs, while discrete models are applied to the development and implementation of the MRF control algorithms. Thus, analytical and numerical simulation compromise the accuracy, quantity of considered phenomena, and computational cost.
引用
收藏
页码:1864 / 1884
页数:21
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