Abstract:This study aims to get a deep insight of the inherent hysteresis behavior of magnetorheological fluid dampers and to develop the method of designing such hysteresis. Taking into account the compressibility of magnetorheological fluid, a physical model of magnetorheological dampers is developed by establishing the flow rate equations for two chambers. The model is validated by a set of the experimental data from a literature. As a special case of the proposed physical model, a lumped parameter physical model wh… Show more
“…On the other hand, the applications of non-parametric models such as the polynomial model [7], the generalized sigmoid function model [8], neural networks [9,10], and neuro-fuzzy [11] are limited due to the lacking of physical conceptions. In contrast to phenomenological models, the physical models [12][13][14] which can numerically or analytically compute the damping force directly using the geometrical parameters of the MR damper and the material characteristics of the MR fluids.…”
This paper presents multi-physics modeling of a MR absorber considering the magnetic hysteresis to capture the nonlinear relationship between the applied current and the generated force under impact loading. The magnetic field, temperature field and fluid dynamics are represented by the Maxwell equations, Conjugate heat transfer equations and Navier-Stokes equations. These fields are coupled through the apparent viscosity and the magnetic force, both of which in turn depend on the magnetic flux density and the temperature. Based on a parametric study, an inverse JilesAtherton hysteresis model is used and implemented to the magnetic field simulation. The temperature rise of MR fluid in the annular gap caused by core loss (i.e. eddy current loss and hysteresis loss) and fluid motion are computed to investigate the performance of current-force behavior. A group of impulsive tests were performed for the manufactured MR absorber with step exciting currents. The numerical and experimental results showed good agreement, which validates the effectiveness of the proposed multi-physics FEA model.
“…On the other hand, the applications of non-parametric models such as the polynomial model [7], the generalized sigmoid function model [8], neural networks [9,10], and neuro-fuzzy [11] are limited due to the lacking of physical conceptions. In contrast to phenomenological models, the physical models [12][13][14] which can numerically or analytically compute the damping force directly using the geometrical parameters of the MR damper and the material characteristics of the MR fluids.…”
This paper presents multi-physics modeling of a MR absorber considering the magnetic hysteresis to capture the nonlinear relationship between the applied current and the generated force under impact loading. The magnetic field, temperature field and fluid dynamics are represented by the Maxwell equations, Conjugate heat transfer equations and Navier-Stokes equations. These fields are coupled through the apparent viscosity and the magnetic force, both of which in turn depend on the magnetic flux density and the temperature. Based on a parametric study, an inverse JilesAtherton hysteresis model is used and implemented to the magnetic field simulation. The temperature rise of MR fluid in the annular gap caused by core loss (i.e. eddy current loss and hysteresis loss) and fluid motion are computed to investigate the performance of current-force behavior. A group of impulsive tests were performed for the manufactured MR absorber with step exciting currents. The numerical and experimental results showed good agreement, which validates the effectiveness of the proposed multi-physics FEA model.
“…Supplied by the manufacture (Zhixing S & T Ltd., Jiangsu, China), the shear yield strength at typical input currents of 0.5 and 1 A are, respectively, 6,500 and 13,000 Pa. According to previous work by Guo et al (2014), the equivalent shear yield strength without input current can be calculated from the frictional force (483 N) as 17,000 Pa.…”
It has been challenging to accurately predict the unique characteristics of magnetorheological (MR) dampers, due to their inherent non-linear nature. Multidimensional flow simulation has received increasing attentions because it serves as a general methodology for modeling arbitrary MR devices. However, the compressibility of MR fluid which greatly affects the hysteretic behavior of an MR damper is neglected in previous multidimensional flow studies. This paper presents a two-dimensional (2D) axisymmetric flow of the compressible Herschel-Bulkley fluid in MR dampers. We simulated the fully coupled inertial-viscous-frictional-elastic transients in MR dampers under low-, medium-, and high frequency excitations. An arbitrary Lagrangian-Eulerian kinematical description is adopted, with the piston movements represented by the moving boundaries. The viscoplasticity and compressibility of MR fluid are, respectively, modeled by the modified Herschel-Bulkley model and the Tait equation. The streamline-upwind Petrov-Galerkin finite element method is used to solve the model equations including the conservation laws and mesh motion equation. We tested the performances of an MR damper under different electric currents and different frequency displacement excitations, and the model predictions agree well with the experimental data. Results showed that the coupled transients of an MR damper are frequency dependent. The weak compressibility of MR fluid, which mainly happens in the chamber rather than in the working gap, is crucial for accurate predictions. A damper's transition from the pre-yield to the post-yield is essentially a step-response of a second order mass-spring-viscous system, and we give such step-response a detailed explanation in terms of mass flow rate.
“…There are two main approaches for simulating MR mount: CFD (Computation Fluid Dynamic) model in commercial software [27] and analytical model [28]. Besides, another analysis model as modified Bingham model [29] and modified Bouc-Wen model [30,31] can be applied to derive the mount model. In this section, the analytical models which are frequently adopted for high loaded mount design are reviewed and discussed.…”
Section: Analytical Tool For Mount Simulationmentioning
confidence: 99%
“…These plates are supposed to be designed to guarantee motions simultaneously. The stiffness coefficients of MR fluid are calculated as follows [31]:…”
Section: Analytical Tool For Mount Simulationmentioning
confidence: 99%
“…This variation guarantees the stability of the system. The damping coefficients of MR fluid are calculated as follows [31]:…”
Section: Analytical Tool For Mount Simulationmentioning
Design configurations of high loaded magnetorheological (MR in short) mounts are reviewed and discussed. The configurations are analyzed on the basis of three operating modes of MR fluid: flow mode, shear mode, and squeeze mode. These modes are significantly important to develop new type of mounts and improve the efficiency of vibration control. In this paper, advantages and disadvantages of each operation mode are analyzed on the basis of ability of designing high loaded mounts. In order for analysis, the field-dependent damping force equations for typical cross sections of mounts are firstly investigated while maintaining original equations of these cross sections. As a subsequent step, simulation tools for the high loaded mounts are investigated and discussed. These tools which are developed from the analyzed method are expressed as functions of various design parameters such as inside pressure, magnetic field, dimension, stiffness, and damping. These tools are essential for accurate design of MR mount and for careful checking of the operation capability before manufacturing the mounts. This paper can provide very useful information and guidelines to determine an appropriate design configuration of high loaded mounts whose vibration control performances depend on the operational mode of MR fluid.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.