A method for modeling Electro-Rheological (ER) dampers is proposed. It consists in two sequential steps: Characterization and Customization. Both steps are. This study presents nondimensional analysis of an Eyring constitutive model to describe the field-dependent behavior of an electrorheological. This paper presents the design, analysis, testing and modeling of an electrorheological (ER) fluid damper developed for vibration and seismic.

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Based on design of experiments DoEthe representative behavior of the damper into the automotive domain can be obtained. Subscribe to Table of Contents Alerts. Finally, the customized model, Figure 12 dgenerates a similar density of experimental data for extension forces and slightly larger compression forces.

Mathematical Problems in Engineering. The electrorheological ER damper is a hydraulic device, which is filled with a mixture of low viscosity oil and particles that are sensitive to an electric field.

A series of displacement sequences and actuation signals were used to capture the static and dynamic relations between velocity, displacement, actuation signal, and the damper force [ 14 ]. The behavior of the SA component of the force is presented in Figure 7.

Dxmper Choi model is not able to generate small dammper due to the use of a discontinuous function; this explains why this model could not predict the small forces present on the experimental data. The customized model, Figures 11 e and 11 fshows the best modeling performance since the nonlinearities added by the manipulation signal are well described and the low and high damping forces are correctly identified.


At the yield electroreological the damper fluid behavior changes from a pseudoplastic to a quasisolid [ 17 ]. Later [ 7 ] shows two different types of ER damper configurations. The results show, as expected, that the Choimodel spends less than half the time 0. Table 5 summarizes the different features of the models.

Herein it is proposed to combine the concepts of passive control with the benefits of active control, to produce an optimal, yet stable and reliable damping system. To receive news and publication updates for Mathematical Problems in Engineering, enter your email address in the box below.

electrorheologicla The resulting model is light enough to be implemented in an embedded system. The SA phenomena include preyield and postyield regions and hysteresis.

Comparison of estimated green and experimental black data of based on E 2. It was observed that the customized model can be extrapolated to other signals different from those used in the identification stage.

Comparison of estimated green and experimental black data based on. In Figures 8 b and 9 b it can be seen that the model can represent the rigidity of the damper, but in the same way as in Figures 9 a and 10 a the stick-slip phenomenon appears again.

Mathematical Problems in Engineering

Model terms used to represent the ER damper characteristics. Figure 11 compares the FV diagrams for each model in experiments and. Experiments and have a greater ESR index when compared with the ones achieved in experiments andrespectively. The results were quantitatively compared with two well-known ER damper models: Additionally, the density plots allow a qualitative comparison of the results, giving same conclusions. This model divides the damper in different zones where the pressure drop is calculated and the damper force depends on those pressure drops.

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In the postyield region the force is almost independent of the piston velocity, but in the preyield zone the force is velocity dependent. Density plots of experimental and estimated data for different models experiment. The first step of the validation process is to prove that the terms discarded have little influence in the modeling performance; this is done by comparing the performance indexes obtained with the full model, 3a3bversus the ones obtained with the customized model, 5a5b.

For the passive force, Figure 6friction, stiffness, and viscous damping were observed.

ERF damper – Wikipedia

The SA damper force, Figure 7presents a sigmoid behavior without significant hysteresis. Electrorheological ER fluids can quickly undergo a drastic change in their viscosity and dynamic shear modulus when an electric field is applied.

The seven parameters are functions of the excitation frequency and electric field. This is result of the actuation and manipulation signals used in that experiment, because the DSFS signal captures best dampfr dynamical behavior of the damper in its whole range of operation while the RP only explores a limited zone.