Design and modeling of a magnetorheological damper with double annular damping gap

Dong, Longlei

doi:10.1177/1045389x221117495

Cited by 10 publications

(4 citation statements)

References 45 publications

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“…The experimental results demonstrated that the energy consumption capacity and adjustable performance of the damper are better than those of a single-coil magnetorheological damper. Yan and Dong (2022) designed a magnetorheological damper with a double-ring damping gap to address the issues of low magnetic field utilization and small dynamic range in traditional magnetorheological dampers .meet the performance requirements of heavyduty trucks, Yang et al (2023) proposed a stepped bypass magnetorheological damper.…”

Section: Introductionmentioning

confidence: 99%

Design and experimental study of a stepped magnetorheological damper with power generation

Chen,

Yang,

Geng

et al. 2024

Smart Mater. Struct.

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Traditional vehicle suspension magnetorheological dampers have problems with low output damping force and require additional energy input to operate, to improve the performance of the vehicle suspension magnetorheological damper, in this paper, we propose and investigate a stepped magnetorheological damper structure with power generation, and conducts structural design and magnetic circuit analysis. The effects of different currents, damping gaps, coil slot positions, and coil turns on the damping performance of the stepped magnetorheological damper with power generation are numerically studied. The magnetic circuit sensitivity analysis of the power generation structure and the magnetorheological damper structure is also performed. Experiments have verified the effects of different input excitations on damping and energy-feeding performance, and the results of numerical analysis have been verified. The results show that when the excitation coil is wound for 257 turns, the magnetic circuit requirements are met. And the influence of different amplitudes, frequencies, and currents on the output damping force was studied through experiments. The results showed that the damping force would increase with the increase of single parameter values. When the amplitude was 7mm, the frequency was 1Hz, and the current was 2A, the output damping force could reach 4500N, meeting the requirements for use.

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Section: Introductionmentioning

confidence: 99%

Design and experimental study of a stepped magnetorheological damper with power generation

Chen,

Yang,

Geng

et al. 2024

Smart Mater. Struct.

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“…The controllable motion characteristics of the MRD should be accurately modeled to efficiently and accurately use them [14][15][16][17][18]. In the development process, MRDs have been incorporated as numerous structures [19][20][21][22], leading to great differences in the theoretical mathematical modeling. In addition MRDs have hysteretic characteristics that are difficult to describe with theoretical equations [3].…”

Section: Introductionmentioning

confidence: 99%

Modeling of magnetorheological dampers based on a dual-flow neural network with efficient channel attention

Li,

Luo,

Zhang

et al. 2023

Smart Mater. Struct.

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Magnetorheological dampers (MRDs) are intelligent devices for semi-active control and are widely applied in vibration isolation. A high-fidelity modeling method is necessary to take full advantage of the controllable properties of MRDs. Therefore, a nested long short-term memory (NLSTM)-convolutional neural network-efficient channel attention (NLCE) modeling method based on a dual-flow neural network architecture is proposed herein. It uses the time, current, amplitude, frequency, displacement, and velocity as inputs and the damping force as the output. Extensive sinusoidal excitation experiments were conducted using a materials test system and two datasets (large and small sample numbers) were obtained. Five testing sets with different emphases were obtained from different experimental series. Four evaluation indexes were used for a quantitative comparison. First, after training with the large sample dataset, network ablation and comparison experiments were conducted based on a testing set-1. The mean absolute relative error (MARE) evaluation index decreased by 2.290% relative to that of the NLSTM (baseline), indicating that the NLCE method is optimal for predicting the motion characteristics of MRDs. Furthermore, after training with the small sample dataset, comparison experiments were conducted based on testing set-1 and testing set-2. The MAREs decreased by 3.984% and 0.871% relative to that of the NLSTM (baseline), respectively, indicating that the NLCE is also the best modelling method for small sample dataset. The visualization results from the above experiments verified the abilities of the NLCE modeling method for small sample-adaptation, fighting randomness, and identifying similarities. Finally, based on testing set-3, testing set-4 and testing set-5, the NLCE model trained with small sample datasets has high prediction accuracy in predicting the peak damping force (MAREs = 1.456%, 0.880%, and 1.482%, respectively), indicating a high prediction accuracy in the non-hysteretic region. Combining all of the experimental results shows that the NLCE is an effective method for predicting the motion characteristics of MRDs.

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“…The current research on semi-active dampers focuses on smart materials, 12 for instance, magnetic fluid (MF), 13 magnetorheological fluid (MRF), 14 Since the smart materials can be adjusted according to external needs, they have a wide range of applications in damping, lubrication, etc. 15,16 Due to the large yield stress and damping force of MRF, it has been widely used in the field of damping, for instance, MRF dampers with double annular damping gap, 17 Integral MRF dampers, 18 MRF dampers for FUZZY-PID controller. 19 However, micron-scale MRF tend to aggregate and precipitate with poor stability.…”

Section: Introductionmentioning

confidence: 99%

Self-tuning vibration reduction study of magnetic fluid rolling-ball damper based on PSO-FUZZY-PID

Yang

Zhang

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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For towering structures under complex time-varying excitation, the tuned magnetic fluid rolling-ball dampers (TMFRBD) cannot achieve self-tuning damping. In this paper, considering the operating characteristics of the TMFRBD, a damper self-tuning control algorithm, namely particle swarm optimization (PSO)-FUZZY-PID, is proposed for real-time adjustment of the intrinsic frequency of TMFRBD, which can greatly improve the damping effect, namely self-tuning magnetic fluid rolling-ball dampers (STMFRBD). Firstly, the equivalent dynamics model of the damping system is established, deriving the structural dynamic amplitude response as a function of the excitation frequency to structural frequency ratio. Different frequency tracking schemes of the damper are compared and analyzed. Then magnetic field simulations and magnetic fluid magnetic property measurements are performed for the dampers, respectively. Secondly, the self-tuning PSO-FUZZY-PID control algorithm is designed to improve the damping performance of STMFRBD under time-varying excitation by optimizing factors of the FUZZY-PID controller with PSO. To confirm the effectiveness of the damper self-tuning control algorithm, the frequency tracking of dampers with different control algorithms under time-varying excitation is compared. The results show that the damper’s frequency can be tuned quickly and accurately tracking excitation frequency by PSO-FUZZY-PID. Finally, the simulation and experimental results of STMFRBD and passive mass damper (PMD) under different loads are analyzed, and the structural amplitude response is analyzed using the Hilbert-Huang transform (HHT). In addition, the damping of STMFBD and TMFBD under different loads is compared. The results show that STMFRBD has better vibration-damping performance than PMD and TMFRBD.

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Design and modeling of a magnetorheological damper with double annular damping gap

Cited by 10 publications

References 45 publications

Design and experimental study of a stepped magnetorheological damper with power generation

Design and experimental study of a stepped magnetorheological damper with power generation

Modeling of magnetorheological dampers based on a dual-flow neural network with efficient channel attention

Self-tuning vibration reduction study of magnetic fluid rolling-ball damper based on PSO-FUZZY-PID

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