Rubber bushing hyperelastic behavior based on shore hardness and uniaxial extension

Lalo, Debora Francisco; Greco, Marcelo

doi:10.26678/abcm.cobem2017.cob17-5280

Cited by 8 publications

(11 citation statements)

References 16 publications

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“…Mooney-Rivlin models are very common to model large strain nonlinear behavior because they work well for moderately large strains. For this validation, the three constants were obtained from experimental results and modeling using the original firstorder Mooney-Rivlin equation from the literature [29,30]. ere are three deflection modes for an automotive bushing, so in the simulations in this study, three different sets for each deflection mode were performed.…”

Section: Validation Of the Technical Feasibilitymentioning

confidence: 99%

Analytical Design and Optimization of an Automotive Rubber Bushing

Rivas-Torres

Tudón-Martínez

Lozoya-Santos

et al. 2019

Shock and Vibration

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The ride comfort, driving safety, and handling of the vehicle should be designed and tuned to achieve the expectations defined in the company’s design. The ideal method of tuning the characteristics of the vehicle is to modify the bushings and mounts used in the chassis system. To deal with the noise, vibration and harshness on automobiles, elastomeric materials in mounts and bushings are determinant in the automotive components design, particularly those related to the suspension system. For most designs, stiffness is a key design parameter. Determination of stiffness is often necessary in order to ensure that excessive forces or deflections do not occur. Many companies use trial and error method to meet the requirements of stiffness curves. Optimization algorithms are an effective solution to this type of design problems. This paper presents a simulation-based methodology to design an automotive bushing with specific characteristic curves. Using an optimum design formulation, a mathematical model is proposed to design and then optimize structural parameters using a genetic algorithm. To validate the resulting data, a finite element analysis (FEA) is carried out with the optimized values. At the end, results between optimization, FEA, and characteristic curves are compared and discussed to establish the correlation among them.

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Section: Validation Of the Technical Feasibilitymentioning

confidence: 99%

Analytical Design and Optimization of an Automotive Rubber Bushing

Rivas-Torres

Tudón-Martínez

Lozoya-Santos

et al. 2019

Shock and Vibration

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“…Hyperelastic material models are very usual to define the mechanical behavior of elastomers, foams, and many biological tissues. Since elastomers are materials that exhibit nearly incompressible behavior and often experience high strains in service, its states of strain are usually very complex [6].…”

Section: Hyperelasticity Theorymentioning

confidence: 99%

“…The strain energy density function ( ) defines the strain energy stored in the material per unit of reference volume. This function depends on the principal stretches or invariants of the strain tensor and it is directly linked to the material's stress-strain relationship which depends on a series of parameters (material constants) [6]. Therefore, in order to assess the rubber-like material constitutive law, some experiments should be performed for input data in curve fitting procedures for the Finite Element Analysis (FEA).…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, Kaya et al [23] simulated the behavior of a vehicular rubber bushing using FEA and performed the shape optimization to redesign its geometry and to meet the target static stiffness curve. Lalo and Greco [6] compared the rubber bushing behavior extracted experimentally with hyperelastic models based on shore hardness and uniaxial extension.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Modeling and Experimental Characterization of Elastomeric Pads Bonded in a Conical Spring under Multiaxial Loads and Pre-Compression

Lalo

Greco

Meroniuc

2019

Mathematical Problems in Engineering

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Elastomeric components are widely used in the engineering field since their mechanical properties can vary according to a specific condition, enabling their applications under large deformations and multiaxial loading. In this context, the present study seeks to investigate the main challenges involved in the finite element hyperelasticity simulation of rubber-like material components under different cases of multiaxial loading and precompression. The complex geometry of a conical rubber spring was chosen to deal with several deformation modes; this component is in the suspension system placed between the frame and the axle for railway vehicles. The framework of this study provides the correlation between axial and radial stiffness under precompression obtained by experimental tests in prototypes and virtual modeling obtained through a curve fitting procedure. Since the material approaches incompressibility, different shape functions were adopted to describe the fields of pressure and displacements according to the finite element hybrid formulation. The material parameters were accurately adjusted through an optimization algorithm implemented in Python program language which calibrates the finite element model according to the prototype test data. However, as an initial guess, the proper constitutive model and its parameters were first defined based only on the uniaxial tensile test data, since this test is easy to perform and well understood. The validation of the simulation results in comparison with the experimental data demonstrated that care should be given when the same component is subjected to different multiaxial loading cases.

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“…Publications employing FEA also explore the hyperelastic behavior of rubber (elastomers) [7,12], utilizing well-known constitutive hyperelastic models such as Mooney-Rivlin [1], [5], [9]- [11], Marlow [9], Ogden [2,10], and Neo Hooke and Yeoh in [11]. Comparison between constitutive hyperelastic models in FEA and experimental tests for rubber with varying hardness is presented in [10], while theories and execution of non-linear finite element analysis of elastomers and mechanical characterization testing of composite materials are discussed in [7], [12]- [14].…”

Section: Introductionmentioning

confidence: 99%

Stiffness Analysis of the Rubber Bushings of Macpherson and Double Wishbone Suspensions

Taneva,

Penchev,

Ambarev

2024

ETR

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The rubber bushings are important components of automotive suspensions. These bushings play an important role in reducing noise and vibrations, enhancing ride comfort, and ensuring smooth vehicle motion. Therefore, investigating their elastic is of significant interest. This article presents the results of a force/torque analysis conducted on rubber bushings used in MacPherson and double wishbone front independent suspensions. To achieve this, three-dimensional geometric models of the rubber bushings were created using the SolidWorks software, employing two types of passenger cars as prototypes. The results were determined through Finite Element Analysis (FEA), and the radial force for all bushings was experimentally measured. The obtained results were then compared for validation.

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Rubber bushing hyperelastic behavior based on shore hardness and uniaxial extension

Cited by 8 publications

References 16 publications

Analytical Design and Optimization of an Automotive Rubber Bushing

Analytical Design and Optimization of an Automotive Rubber Bushing

Numerical Modeling and Experimental Characterization of Elastomeric Pads Bonded in a Conical Spring under Multiaxial Loads and Pre-Compression

Stiffness Analysis of the Rubber Bushings of Macpherson and Double Wishbone Suspensions

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