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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Subscribe to Table of Contents Alerts. Experiments and have a greater ESR index when compared with the ones achieved in experiments andrespectively. Finally, Section 7 concludes the paper. Comparison of estimated green and experimental black data based on. The second one is the orifice type; this type has a mechanism located inside the piston of the damper, which regulates the flow of the ER fluid through its chambers; two models were proposed, one for each type of damper, but the ones of physical parameters are needed.

Abstract Funding Institution Comments. For the PWM duty cycle, the Stepped inCrements SC signal, Figure 3 ais used to study the effect of the actuation signal under different displacements sequences.

Following the same line in terms of parametric models, [ 8 ] describes a hydromechanical based model. In the FV diagram the yield point is a Cartesian point where the damping force becomes independent of the velocity.

This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in samper medium, provided the original work elrctrorheological properly cited.

The DoE consists of a combination of displacement and actuation sequences i. For the actuation signal the use of a PRBS signal shows how the damper behaves when operated at its limit conditions; for the case of ICPS the full range of force was shown.

ERF damper – Wikipedia

Compared with well-known approaches, the simplicity of the method that does not demand a specialized background of design and modeling of electrorheological dampers is the main important contribution. Introduction In an automotive suspension system the shock absorber has the purpose of dissipating the energy of the motion of the vehicle caused by the road disturbances.


In the Electrorheolohical diagram, Figure 6 ban abnormal stick-slip appears as a peak, as well as effect of the frequency in the damper stiffness. In an automotive suspension system the shock absorber has the purpose of dissipating the energy of the motion of the vehicle caused by the road disturbances.

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. This combination, at high frequencies, introduces high variability in the force; variability induces more hysteresis in the measured force. The performance indexes for all the experiments customized and full models are shown in Table 3.

This change on the damper needs to be controlled, to achieve the desired objectives. However, this model was unable to describe the stick-slip phenomenon, Figures 8 a and 9 ain elecrorheological FV diagrams; they are the force peaks around 0.

This method requires experimental data of the ER damper. A commercial ER samper was used, Figure 1 a.

The resulting model has low computational complexity. Comparison of estimated green and experimental black data of based electrorheologicao E 2. In this study it is proposed: From the FV diagram, Figure 6 ait can be seen that this ER damper is asymmetrical; the maximum force in extension positive velocity is greater than the force generated in compression negative velocity.

The modeling method comprehends two simple steps: Mathematical Problems in Engineering. A model based on the pressure drop in the ER channel is presented by [ 5 ]; this pressure drop considers an effect that depends on the damper velocity and others that just depend on the electric field; the coefficients for this model are based on physical dimensions of the damper and physical properties of the ER fluid.


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Several of the existing ER fluids consist of particle suspensions within a dispersant phase. The experimental setup, Figure 2 aconsists of three modules: The customized model, Figures 11 e and 11 fshows the eectrorheological modeling performance since the nonlinearities added by the manipulation signal are rlectrorheological described and the low and high damping forces are correctly identified.

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. Our proposal considers general model that is customized based only on experimental data of the ER damper. The authors declare that there is no conflict of interests regarding the publication of this paper.

The results show, as expected, that the Choimodel spends less than half the time 0. All the analyzed models are nonlinear and depend on the damper displacement and velocity. Later [ 7 ] shows electrorgeological different types of ER damper configurations. The average FM diagram, Figure 7 cshows that the average force gain for this particular ER damper has a linear behavior. At the yield point the damper fluid behavior changes from a pseudoplastic to a quasisolid [ 17 ]. Equation 3b represents the SA dakperwhere electrorheplogical the manipulation applied to the damper, is the force gain due to manipulation, anddescribe the behavior of the damper in the preyield zone.

These sequences ensure the ER damper will be tested in the automotive domain. Three replicas of each experiment were used to evaluate the performance of the customized model.