ELECTRORHEOLOGICAL DAMPER PDF
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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An electrorheological fluid vibration damper
Also, the customized model can extrapolate the results for different experimental data. This test consists dampsr measuring the time that the model takes to compute a vector of data points; in this case the selected vector contains 58, data points.
In the characterization step, the dynamical characteristics of the damper behavior are analyzed based on the characteristic force-displacement FD daper force-velocity FV diagrams. This dammper result of the actuation and manipulation signals used in that experiment, because the DSFS signal captures best the dynamical behavior of the damper in its whole range of operation while the RP only explores a limited electrorheolovical. This model can represent the behavior in both the preyield and the postyield zone but needs the identification of every parameter in each combination of frequency and field intensity; the accuracy of the model depends on how small are the considered intervals of the variables, but when changing the between this levels the model does not consider a transient response of the force.
This explains why in the experiment the ESR is almost the double of the one achieved with the full model.
Since the model should be well suited for real time implementations, there was another comparative test done to all the models. The ER damper models are also qualitatively compared using density plots in order to identify if these models predict correctly the distribution of the experimental data.
An electrorheological fluid vibration damper – IOPscience
In the FD diagram the experimental data presents higher density with small forces, especially in compression, Figure 12 e. In this study it is proposed: For comparison purposes there are included the full model and the eamper model using the tanh function instead of the squash function. Also, the two levels of force, caused by the PRBS signal, should be clearly defined as well. 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.
This damper presents significant hysteresis in all its operational range, being more notorious at low speed and in positive velocity. The results show, as expected, that the Choimodel spends less than half the time 0.
Even if the customized model lasts longer to be computed its precision is much better. This function has the advantage of been lighter for computing while reproducing almost the same damer as the tanh. In contrast with the experimental data, in the Eyring-plastic model the higher density appears with large forces and exhibits a saturation, Figure 12 g ; hence the Eyring-plastic model produces smaller forces with large displacements than the real damper.
Table of Contents Alerts. View at Google Scholar S. 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. The FV diagram of the estimated data, Figure 10 bis similar to the one obtained with experimental data, Figure 10 abut because the stick-slip phenomenon is not considered by the model, damer estimated force does not present the peaks around 0.
On the other hand, the DSFS signal is used to analyze the transient response and the hysteresis loops when changes in magnitude and frequency are present. Finally, Section 7 concludes the paper.
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 electrorhfological are needed.
A method for modeling ER dampers was proposed. This model captures the damper behavior in the preyield zone, in terms of the hysteresis.
Method for Modeling Electrorheological Dampers Using Its Dynamic Characteristics
The authors declare that there is no conflict of interests regarding the publication of this paper. Finally, the customized model, Figure 12 dgenerates a similar density of experimental data for extension forces and slightly larger compression forces. The method is validated with intensive electrorheologicap data and compared to others published. This is an open access article distributed electrofheological the Creative Commons Attribution Licensewhich permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Several of the existing ER fluids consist of particle suspensions within a dispersant phase.
Depending on the physical characteristics of the ER damper, 3a3b are customized so that only the required terms are considered to preserve an accurate representation while simplifying the model structure, Table 2. All the analyzed models are nonlinear and depend on the damper displacement and velocity.
To receive news and publication updates for Mathematical Problems in Engineering, enter your email address in the box below. The method comprehends two main steps: View at Google Scholar R. The main contribution of this method is the simplicity that by analyzing the experimental data i.
Comparison of estimated green and experimental black data of based on E 2. 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 customized model ends with a short equation with high performance. Figure 11 compares the FV diagrams for electrorheloogical model in experiments and.
Electrorheological ER fluids can quickly undergo a drastic change elwctrorheological their viscosity and dynamic shear modulus when an electric field is applied.
The model parameters were fitted using the LSE method. A model with the same shape and density distribution to the experimental data is required in order to compute a right manipulation to achieve a desired dsmper. Furthermore, the yield stress is field dependent; it increases as the electric field does.
This is realized with a cross-validation of a model with other datasets; the results are shown in Table 4. The DoE consists of a combination of displacement and actuation eectrorheological i. So far, it has been used mainly in a passive manner. The ER damper force can be represented by two components: