Modeling of a magneto-rheological (MR) fluid damper using a self tuning fuzzy mechanism

Ahn, Kyoung Kwan; Dinh, Truong Quang; Islam, Muhammad Aminul

doi:10.1007/s12206-009-0359-7

Cited by 42 publications

(43 citation statements)

References 27 publications

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“…대부분 기계부품에서 일 어나는 마찰은 두 부품 간의 왕복운동에 의한 마찰이 대부분이다 [6]. 자기유변유체와 다른 기계부품이 왕복 운동을 하게 될 경우에는 자기유변유체 내부에 포함 되어 있는 철 입자가 다른 부품의 표면을 지속적으로 손상시키기 때문에 장치 표면의 마모가 빠르게 진행 된다 [7][8][9] …”

Section: 서 론unclassified

A Study on the Effect of the Material and Applied Magnetic Field Strength on the Friction Characteristics of Magnetorheological Fluids

Zhang¹,

Lee²,

Lee³

2013

Journal of the Korean Society of Tribologists and Lubrication E

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− Magnetorheological (MR) fluid belongs to the group of smart materials. In MR fluid, iron particles in base oil form chains in the direction of the applied magnetic field, thus resulting in a variation in the stiffness and damping characteristics of the fluid. Research is being carried out on controlling the stiffness and damping characteristics as well as the tribological characteristics of the MR fluid. In this study, the friction characteristics of MR fluid have been evaluated using three types of materials and magnetic fields of different strengths. The coefficients of friction of the three types of MR fluid are measured, and the relationship between the coefficient of friction and the strength of the applied magnetic field is obtained.

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Section: 서 론unclassified

A Study on the Effect of the Material and Applied Magnetic Field Strength on the Friction Characteristics of Magnetorheological Fluids

Zhang¹,

Lee²,

Lee³

2013

Journal of the Korean Society of Tribologists and Lubrication E

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“…Some research has been accomplished on this damper's design optimization [9][10][11][12]. Yun te al.…”

Section: Introductionmentioning

confidence: 99%

ANSYS finite element design of an energy saving magneto-rheological damper with improved dispersion stability

et al. 2015

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The magnetorheological (MR) damper is one of the utmost progressive applications of asemi-active damper. Uninterrupted controllability in both on and off state is an important factor of its plenitude application. Current research is attempting to make the damper more effective and efficient by minimizing the existing limitations such as MR fluid's sedimentation, power consumption and temperature rising, and design optimization. We have broadly analyzed the optimization of MR dampers design with finite element simulation where various parameters of the MR damper have been considered for more accurate results. A prototype MR fluid has been prepared by coating the carbonyl iron particles with xanthan gum to reduce sedimentation. The SEM and Turbiscan results noticeably verify the improved sedimentation stability. In addition, a power-saving MR damper model has been developed by finite element analysis using ANSYS software. Prolonged operation raises the damper's body temperature and degrades the performance. However, in this energy-saving MR damper model the temperature is not rising to a higher value compared to the conventional dampers, and consequently promotes damper efficiency.

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“…This model is an extension of STF model [10]. A neural network mimics the biological information processing mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Non-Parametric Model of Magneto-Rheological (MR) Damper Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Zheng

Liu

Zhou

2011

AEF

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Abstract. Magneto-rheological (MR) damper is a typical non-linear actuator. The nonlinear relationship between the input and the output of MR damper should be characterized accurately in order to produce a required control action supplied by MR damper. The challenges of the conventional parametric model are the time-consuming and the requirement of complex parameter identification for MR damper. In this paper, a non-parametric model of MR damper based on the adaptive neuro-fuzzy system theory is presented to overcome the drawbacks of the conventional parametric model. This non-parametric model is developed by means of two adaptive neural fuzzy sub-systems which are designed to describe the nonlinear relationship in MR damper successfully. One sub-system is used to characterize the dependence of the damping force on velocity and acceleration, the other sub-system is used to characterize the dependence of the damping force level on the control voltage. The proposed non-parametric model is identified by experimental results. Furthermore, the accuracy of the model is investigated and evaluated. The model supplies a key technical support to achieve excellent control performances for semi-active suspension systems with MR dampers in vehicle.

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Modeling of a magneto-rheological (MR) fluid damper using a self tuning fuzzy mechanism

Cited by 42 publications

References 27 publications

A Study on the Effect of the Material and Applied Magnetic Field Strength on the Friction Characteristics of Magnetorheological Fluids

A Study on the Effect of the Material and Applied Magnetic Field Strength on the Friction Characteristics of Magnetorheological Fluids

ANSYS finite element design of an energy saving magneto-rheological damper with improved dispersion stability

Non-Parametric Model of Magneto-Rheological (MR) Damper Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

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