Experimental twelve degree of freedom rubber isolator models for use in substructuring assemblies

Haeussler, M.; Klaassen, Steven W. B.; Rixen, Daniel J.

doi:10.1016/j.jsv.2020.115253

Cited by 40 publications

(24 citation statements)

References 18 publications

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“…There are several scientific publications which deal with high-frequency dynamic testing of elastomers, using different designs of the test apparatus, as can be seen in Ramorino et al [ 15 ] and Koblar and Boltezar [ 12 ]. Haeussler et al [ 11 ] performed “free–free” rubber isolator measurements to be able to describe the vibration in virtual points and compute the frequency dependent dynamic stiffness. Testing machines to measure the dynamic stiffness of elastomers within high frequencies are also commercially available.…”

Section: High-frequency Dynamic Testing (Frequency Domain)mentioning

confidence: 99%

“…In addition to the approach of Haeussler et al [ 11 ], there are two possibilities for measuring dynamic characteristics of rubber bushing in a wide frequency range, as outlined in Figure 6 . The measurement method can be performed, as shown in Figure 6 a, directly, utilizing an accelerometer and force sensor, or indirectly, using two accelerometers as in Figure 6 b.…”

Section: High-frequency Dynamic Testing (Frequency Domain)mentioning

confidence: 99%

“…Lion and Johlitz [ 10 ] have shown that internal resonance of elastomeric motor mounts and cogging occur in roughly the same frequency range. Dynamic measurements in audible frequency range are presented in publications of Haeussler et al [ 11 ], Koblar and Boltezar [ 12 ], Kari [ 13 , 14 ] and Ramorino et al [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

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Advanced Characterisation of Soft Polymers under Cyclic Loading in Context of Engine Mounts

et al. 2022

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The experimental investigation of viscoelastic behavior of cyclically loaded elastomeric components with respect to the time and the frequency domain is critical for industrial applications. Moreover, the validation of this behavior through numerical simulations as part of the concept of virtual prototypes is equally important. Experiments, combined measurements and test setups for samples as well as for rubber-metal components are presented and evaluated with regard to their industrial application. For application in electric vehicles with relevant excitation frequencies substantially higher than by conventional drive trains, high-frequency dynamic stiffness measurements are performed up to 3000 Hz on a newly developed test bench for elastomeric samples and components. The new test bench is compared with the standard dynamic measurement method for characterization of soft polymers. A significant difference between the measured dynamic stiffness values, caused by internal resonance of the bushing, is presented. This effect has a direct impact on the acoustic behavior of the vehicle and goes undetected by conventional measurement methods due to their lower frequency range. Furthermore, for application in vehicles with internal combustion engine, where the mechanical excitation amplitudes are significantly larger than by vehicles with electric engines, a new concept for the identification of viscoelastic material parameters that is suitable for the representation of large periodic deformations under consideration of energy dissipation is described. This dissipated energy causes self-heating of the polymer and leads to the precocious aging and failure of the elastomeric component. The validation of this concept is carried out thermally and mechanically on specimen and component level. Using the approaches developed in this work, the behavior of cyclically loaded elastomeric engine mounts in different applications can be simulated to reduce the time spent and save on the costs necessary for the production of prototypes.

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Section: High-frequency Dynamic Testing (Frequency Domain)mentioning

confidence: 99%

Section: High-frequency Dynamic Testing (Frequency Domain)mentioning

confidence: 99%

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Advanced Characterisation of Soft Polymers under Cyclic Loading in Context of Engine Mounts

et al. 2022

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“…Even then, the identified joint parameters are strongly influenced by measurement errors and are usually frequency dependent [4,5,31]. A recent article [32] compares both the inverse substructuring and substructure decoupling methods applied on a rubber isolator.…”

Section: Introductionmentioning

confidence: 99%

Experimental Joint Identification Using System Equivalent Model Mixing in a Bladed Disk

Saeed

Klaassen

Firrone

et al. 2020

Journal of Vibration and Acoustics

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Abstract A joint between two components can be seen as a means to transmit dynamic information from one side to the other. To identify the joint, a reverse process called decoupling can be applied. This is not as straightforward as the coupling, especially when the substructures have three-dimensional characteristics, or sensor mounting effects are significant, or the interface degrees-of-freedom (DoF) are inaccessible for response measurement and excitation. Acquiring frequency response functions (FRFs) at the interface DoF, therefore, becomes challenging. Consequently, one has to consider hybrid or expansion methods that can expand the observed dynamics on accessible DoF to inaccessible DoF. In this work, we attempt to identify the joint dynamics using the system equivalent model mixing (SEMM) decoupling method with a virtual point description of the interface. Measurements are made only at the internal DoF of the uncoupled substructures and also of the coupled structure assuming that the joint dynamics are observable in the assembled state. Expanding them to the interface DoF and performing coupling and decoupling operations iteratively, the joint is identified. The substructures under consideration are a disk and blade—an academic test geometry that has a total of 18 blades but only one blade-to-disk joint is considered in this investigation. The joint is a typical dove-tail assembly. The method is shown to identify the joint without any direct interface DoF measurement.

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“…From structural dynamics perspective, knowledge of their characteristics is extremely important to accurately predict the structural response. There have been numerous studies in the past that try to identify the joint parameters [1][2][3][4][5][6][7][8][9]. Generally, in spectral methods, the joints are identified by inverse substructuring [10] or substructure decoupling [11][12][13].…”

mentioning

confidence: 99%

Joint Identification through Hybrid Models Improved by Correlations

Saeed,

Firrone,

Berruti

2021

Preprint

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Experimental twelve degree of freedom rubber isolator models for use in substructuring assemblies

Cited by 40 publications

References 18 publications

Advanced Characterisation of Soft Polymers under Cyclic Loading in Context of Engine Mounts

Advanced Characterisation of Soft Polymers under Cyclic Loading in Context of Engine Mounts

Experimental Joint Identification Using System Equivalent Model Mixing in a Bladed Disk

Joint Identification through Hybrid Models Improved by Correlations

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