An experimental study of a semiactive magneto-rheological fluid variable damper for vibration suppression of truss structures

Oh, Hyun-Ung; Onoda, Junjiro

doi:10.1088/0964-1726/11/1/318

Cited by 60 publications

(47 citation statements)

References 15 publications

(45 reference statements)

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“…The common fluid-like viscoelastic models are viscous dashpot [4,5], Maxwell fluid [6,7], and threeparameter fluid [8,9]. Elastic spring [10,11], Kelvin-Voigt solid [12][13][14], and three-parameter solid [15] are the common solid-like viscoelastic models. Viscoplastic models are widely used to model the entire pre-yield and post-yield behavior of the EMR fluids.…”

Section: Introductionmentioning

confidence: 99%

An experimental evaluation of pre-yield and post-yield rheological models of magnetic field dependent smart materials

et al. 2010

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The rheological behavior of field-dependent smart fluids in both the pre-yield and post-yield regimes is investigated. Typical viscoelastic and viscoplastic models are employed to model the fluids behavior. Viscoelastic models are used widely in the pre-yield regime. Viscoplastic models are also used extensively in both the pre-yield and post-yield regimes. Two smart fluids including a ferromagnetic nanoparticle fluid and an MR fluid are examined here. Using an MCR300 rheometer, the rheological properties of the fluids in both oscillation and rotational mode are measured. In the oscillation mode, the storage and loss moduli versus frequency are measured. In the rotational mode, shear stress, shear rate, viscosity and torque are measured. In the frequency domain, the pre-yield behavior of the ferromagnetic nano-particle fluid is modeled by Kelvin-Voigt solid model. Also, the three-parameter fluid model is used to model the pre-yield behavior of the MR fluid. Two viscoplastic models including Bingham-plastic and Herschel-Bulkley models are selected to model the rheological behavior of fluids in the time domain. Which model is more appropriate depends on the external magnetic field and the shear rate. Both models are used here to model the fluids' behavior. The models properly predict the results observed in the experiments.

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Section: Introductionmentioning

confidence: 99%

An experimental evaluation of pre-yield and post-yield rheological models of magnetic field dependent smart materials

et al. 2010

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“…Another optimal control for the mixed MRF mount system was presented in [37] in which the optimal LQG controller was used for successful vibration control by activation MRF mount. In literature, a large number of simulation studies [27,33,34,35,38,39,40,41,42,43,44,45,46] and experimental work [28,29,30,31,32,36,37,47] were conducted to investigate the optimal control performances. It is remarked here that the combination of LQR control and other control strategies such as neural network, fuzzy-neural network and H2 technique is very popular.…”

Section: Other Applicationsmentioning

confidence: 99%

State of the art of control schemes for smart systems featuring magneto-rheological materials

Choi¹,

Li²,

Yu³

et al. 2016

Smart Mater. Struct.

134

103

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“…Giliomee et al [2], Hagopian et al [3] and Kitching et al [5] developed dampers systems based on hydraulic piston whose variable orifice is controlled by an electrodynamic valve. Oh and Onoda [4] used metallic flexible bellows and magneto-rheologic fluids.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Experimental Investigation of an Active Damper

Teixeira¹,

Neto²,

Ribeiro³

2006

Shock and Vibration

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This paper presents a validation methodology of the dynamic behavior of an active viscous damper. The damper has two flexible metallic bellows connected to a rigid reservoir filled with fluid. When one of the bellows is connected to a vibrating structure a periodic flow passes through a variable internal orifice and the damping effect is produced. The size of the orifice is adjusted by a controlled linear piezoelectric actuator that positions the conical core into a conical cavity. The device finite element structural model consists of the valve body and its conical core that are assumed rigid and the flexible bellows are represented by two pistons with elastic suspensions. The flow developed inside the damper is modeled considering the fluid-structure interation, using the Lagrangean-Eulerian formulation. To validate the proposed model a prototype was constructed and experimental tests and numerical simulations are accomplished in the time domain, applying harmonic excitations. The results are compared using curves that relate the damping coefficient with the orifice size and with the input velocity applied at the bellows face. However, for the proper control design and system operation, the direct use of the finite element model becomes unviable due to its high computational time. Then, a reduced second order discrete dynamic model for the damper was developed. The model parameters are identified by analysis in the frequency domain, using impulsive excitation force, for constant and variable orifice sizes. At low excitation frequencies, the damper prototype behaves like a single degree of freedom system which damping factor changes with the orifice size A fuzzy controller was designed and it generates the orifice reference size associated to the desired damping factor. The active system presented better performance when compared to the passive one.

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An experimental study of a semiactive magneto-rheological fluid variable damper for vibration suppression of truss structures

Cited by 60 publications

References 15 publications

An experimental evaluation of pre-yield and post-yield rheological models of magnetic field dependent smart materials

An experimental evaluation of pre-yield and post-yield rheological models of magnetic field dependent smart materials

State of the art of control schemes for smart systems featuring magneto-rheological materials

Modelling and Experimental Investigation of an Active Damper

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