Abstract:Magnetorheological (MR) damper is one of the most promising smart devices for dissipating seismic energy and reducing structural vibrations. The MR dampers with multiple coils are widely adopted to enhance the output damping forces and seismic performance. In order to study the dynamic characteristics of multicoil MR dampers from a micro to macro viewpoint, a three-coil MR damper was designed and manufactured in this paper. The performance tests of the three-coil MR damper under different excitation currents, … Show more
“…In the structural design of magnetorheological dampers, the advantages of bypassed magnetorheological dampers are higher shear stress, good damping force adjustability and the possibility of higher maximum damping force generated (Aziz and Aminossadati, 2021). For the design of magnetorheological damper coils, some researchers study the magnetorheological damper with three coils and propose a mathematical model applicable to the magnetorheological damper with three coils, which provides information for the design and analysis of future magnetorheological dampers with multiple coils (Yang et al, 2021). For the optimization of magnetorheological dampers, the researchers used multi-objective optimization design to optimize the structure and used the most reasonable parameters in each parameter to improve the performance of the magnetorheological dampers (Huina et al, 2021; Jiang et al, 2022a).…”
In order to meet the damper performance requirements of heavy vehicles, a stepped-bypass magnetorheological damper is proposed. The mathematical model of damping force is deduced, and its mechanical properties are numerically simulated. Then the damper is manufactured, and the mechanical properties of the stepped bypass magnetorheological damper are experimentally studied. The simulation are consistent with the experimental results. The damper is optimized by orthogonal optimization design test. Finally, it is concluded that the maximum output damping force of the stepped bypass magnetorheological damper is about 4500 N, and the adjustable coefficient K is about 5.4. After optimization, the damping force of the stepped bypass magnetorheological damper is increased by at least 5.3%, and the adjustable coefficient K is at least 1.37 times that before optimization, which is 13% wider than that before optimization.
“…In the structural design of magnetorheological dampers, the advantages of bypassed magnetorheological dampers are higher shear stress, good damping force adjustability and the possibility of higher maximum damping force generated (Aziz and Aminossadati, 2021). For the design of magnetorheological damper coils, some researchers study the magnetorheological damper with three coils and propose a mathematical model applicable to the magnetorheological damper with three coils, which provides information for the design and analysis of future magnetorheological dampers with multiple coils (Yang et al, 2021). For the optimization of magnetorheological dampers, the researchers used multi-objective optimization design to optimize the structure and used the most reasonable parameters in each parameter to improve the performance of the magnetorheological dampers (Huina et al, 2021; Jiang et al, 2022a).…”
In order to meet the damper performance requirements of heavy vehicles, a stepped-bypass magnetorheological damper is proposed. The mathematical model of damping force is deduced, and its mechanical properties are numerically simulated. Then the damper is manufactured, and the mechanical properties of the stepped bypass magnetorheological damper are experimentally studied. The simulation are consistent with the experimental results. The damper is optimized by orthogonal optimization design test. Finally, it is concluded that the maximum output damping force of the stepped bypass magnetorheological damper is about 4500 N, and the adjustable coefficient K is about 5.4. After optimization, the damping force of the stepped bypass magnetorheological damper is increased by at least 5.3%, and the adjustable coefficient K is at least 1.37 times that before optimization, which is 13% wider than that before optimization.
“…Both parametric and non-parametric models have been proposed to describe the behavior of MR dampers (Bui et al, 2021; Wang and Liao, 2011; Xu et al, 2021; Yang et al, 2013; Zamani et al, 2019). Parametric models based on mechanical idealizations have been studied by several researchers (Yang et al, 2021; Zhang et al, 2021). However, these parametric models can model the dynamics of MR dampers within a limited range and the simulation accuracy depends not only on the dynamic model but also the parametric identification method.…”
In this paper, we present a series of experimental and numerical studies on the performance and modeling of a developed magnetorheological gel (MRG) damper. A bi-directional shear-type damper was designed and fabricated. The MRG damper, which utilizes the gel’s high viscosity, can effectively alleviate the settlement problem inherent in magnetorheological fluid damper applications. Then, dynamic performance experiments were carried out to obtain the damping force with sinusoidal and random displacement excitations. Based on the test results, the forward model of the damper was established using a backpropagation neural network. A genetic algorithm was employed to optimize both the network structure parameters and the initial weight and bias values. Different forward models generated using different training datasets were validated and compared with the RBFNN model and Bouc-Wen model using different test datasets. The validation results indicate that the neural network-based forward model greatly outperforms the RBFNN model and Bouc-Wen model in terms of the estimation performance. The influence of the inputs at previous time has also been investigated. Finally, to generate the command current for controlling the damper, inverse neural network models with optimized structure parameters were established using different training datasets. Validation results with different test datasets indicate that, although the predicted current generated by the inverse models has many high-frequency components, it can still act as an effective damper controller, with the resulting damping force calculated using the predicted current coinciding well with the desired behavior.
“…Meanwhile MRFs possess stronger shear viscosity and yield stress than MFs. Based on these interesting characteristics of MRFs, they are usually used for vibration suppression of medium or high frequencies (Xu et al, 2021;Yang et al, 2021).…”
With the rapid development of aerospace technology, the vibration problem of the spacecraft flexible structure urgently needs to be solved. Magnetic fluids are a type of multi-functional smart materials, which can be employed in shock absorbers to eliminate these vibrations. Referring to the calculation methods of stiffness coefficients of other passive dampers, the stiffness coefficient formula of magnetic fluid shock absorbers (MFSAs) was derived and refined. Meanwhile, a series of varying stiffness magnetic fluid shock absorbers (VS-MFSAs) were proposed and fabricated based on the second-order buoyancy principle. The range of stiffness coefficients covered by these VS-MFSAs contains the optimal stiffness coefficient estimated by formulas. The repulsive force measurement and vibration attenuation experiments were conducted on these VS-MFSAs. In the case of small amplitude, the relationship between the repulsive force and the offset distance was linear, which means the stiffness was linear. The simulation and experiment curves of the stiffness were in good agreement. The results of vibration attenuation experiments demonstrated that the rod length and the magnetic fluid mass influence the damping efficiency of VS-MFSAs. In addition, these results verified that the VS-MFSA with the optimal stiffness coefficient performed best. Therefore, the stiffness coefficient formula can guide the design of MFSAs.
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