Experiment-Based Modeling of Cylindrical Rubber Bushings for the Simulation of Wheel Suspension Dynamic Behavior

Dzierżek, Sławomir

doi:10.4271/2000-01-0095

Cited by 33 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where δ is the loss angle, k is the storage stiffness and h is the dissipative stiffness. The dynamic stiffness is rewritten by defining the structural loss factor, γ = tan δ, as (4) Fig . 5 shows the measured cross-point dynamic stiffness for a frequency range up to 600 Hz.…”

Section: Experimental Validationmentioning

confidence: 99%

“…Elastomeric components are widely used in vehicle isolation systems such as engine mounts, suspension bushings, shock and strut mounts, cradle and body frame mounts, and exhaust hangers [1]. These components present many challenges in modeling such as amplitude and frequency dependent properties and the dynamic properties of assemblies may differ from those of components due to preload and boundary condition effects [2,3,4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Volumetric and Dynamic Performance Considerations of Elastomeric Components

Noll

Joodi

Dreyer

et al. 2015

SAE Int. J. Mater. Manf.

View full text Add to dashboard Cite

The scope of this article is limited to elastomeric mounts or bushings where the material is considered to be linear elastic with frequency dependent structural damping. Only the axial direction of a cylindrical component (as displayed in Fig. 1) is examined. The specific objectives of this article are as follows: 1. Design two illustrative cylindrical mounts that are scaled to have identical axial static stiffness of the same material and compare the dynamic behavior, 2. Develop a lumped parameter model that captures the

show abstract

Section: Experimental Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Volumetric and Dynamic Performance Considerations of Elastomeric Components

Noll

Joodi

Dreyer

et al. 2015

SAE Int. J. Mater. Manf.

View full text Add to dashboard Cite

show abstract

“…The main evaluation parameters are the dynamic stiffness and the damping coefficient. 11,12 The experiment of the dynamic mechanical properties of the rubber bushing first obtains the displacement signals and the force signals under different frequencies of bushing radial under the alternating load and then obtains the dynamic stiffness and the damping coefficient of the rubber bushing with the frequency. 7 The dynamic behavior of the rubber bushing is verified by the experimental setup shown in Figure 9(a) and (c).…”

Section: Experimental Equipment and Modelmentioning

confidence: 99%

Comparative experimental and numerical study on energy consumption of track-pin rubber bushing for high-speed tracked vehicles

Chen

Zhang

Zhou³

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

During the running of high-speed tracked vehicles, the energy loss due to the rotation and tension-compression deformation of the rubber bushing between the track pin and the track plate causes the largest proportion of energy consumption in tracked vehicle propulsion systems; therefore, it is critical to study energy consumption of this component as it is the largest amount of energy loss of the system. First, the theoretical modeling and analysis of the torsional hysteresis and the tension-lag of the hanging glue on the pin of the track pin are conducted. Both energy loss of torsional hysteresis and energy loss of the hysteresis of tension and pressure are obtained when the rubber bushings pass the sprocket, the road wheel, and the idler. Second, a new and novel rubber bushing model based upon the rubber bushing elastic element, the friction element, and the viscoelastic element is proposed. Then the parameters (such as the static elastic stiffness and the maximum friction) of each unit are identified according to the dynamic characteristic experiment. Finally, the numerical simulation results of MATLAB with different stiffness and damping coefficient in addition to tension and compression energy consumption under different frequencies are obtained, and the comparisons are basically consistent with the experimental results; the average errors are less than 8%. The present analytical calculation model is practically useful and can meet the requirements of engineering applications.

show abstract

“…However, in current practice the characterization of these components for operationally representative boundary conditions and load cases is lacking. Experimental parameter identification methods exist, but these are typically limited to isolated identification on dedicated test rigs [1][2][3], such that their in-situ representatives is often limited. Therefore, the authors focus on parameter identification techniques that can be applied on a system level.…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification on Flexible Multibody Models Using the Adjoint Variable Method and Flexible Natural Coordinate Formulation

Vanpaemel

Naets

Vermaut

et al. 2020

Journal of Computational and Nonlinear Dynamics

View full text Add to dashboard Cite

This work proposes a methodology for in situ parameter identification using system-level measurements of (flexible) multibody systems, opposed to dedicated component-level identification. The sensitivity information employed for the optimization is obtained using the adjoint variable method (AVM). This method has the advantage of obtaining sensitivity information at a computational cost independent of the amount of model parameters. The underlying flexible multibody formulation employed is a novel approach called the flexible natural coordinates formulation (FNCF). This formulation combines the advantageous properties of the floating frame of reference formulation (FFRF) and the generalized component mode synthesis (GCMS) methods and results in a constant mass and stiffness matrix with quadratic constraint equations. This work shows how the specific structure of equations obtained through FNCF drastically reduces the complexity of the AVM as the simulation derivatives can be readily obtained and are of limited order. The proposed approach has been implemented in an in-house object-oriented matlab multibody code. The methodology is illustrated by identifying 13 model parameters of a MacPherson suspension model, in situ and using system-level measurements.

show abstract

Experiment-Based Modeling of Cylindrical Rubber Bushings for the Simulation of Wheel Suspension Dynamic Behavior

Cited by 33 publications

References 10 publications

Volumetric and Dynamic Performance Considerations of Elastomeric Components

Volumetric and Dynamic Performance Considerations of Elastomeric Components

Comparative experimental and numerical study on energy consumption of track-pin rubber bushing for high-speed tracked vehicles

Parameter Identification on Flexible Multibody Models Using the Adjoint Variable Method and Flexible Natural Coordinate Formulation

Contact Info

Product

Resources

About