Fatigue Characteristics of Vulcanized Natural Rubber for Automotive Engine Mounting

Shibata, Shunsaku; Ochi, Kazuhiko; Aono, Yuuta; Noguchi, Hiroshi; Oshima, Hideki

doi:10.4028/www.scientific.net/kem.353-358.178

Cited by 4 publications

(7 citation statements)

References 4 publications

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“…• For k 2 ½1 ; 1:259, the ranking is given by equation 7 • Finally, for k > 2:9 ( Figure 1) the ranking is given by equation 10as e AÀE he log he eng he O he GÀL (10) Generally, all the strain measures, described above, can be considered as damage parameters to estimate the fatigue life of rubbers. The difference existing between the various types of strain measures leads to various fatigue predictions for rubbery materials.…”

Section: Strain-based Damage Parametersmentioning

confidence: 99%

“…This justifies the use of the maximum of the predictive quantities, whatever the nature of the fatigue predictor, when dealing with the uniaxial or multiaxial fatigue of rubbers. 1–26 As we focus on the uniaxial fatigue life of the SBR rubber, only the strain damage parameters are investigated. Subsequently peak parameters εk,M will be examined.…”

Section: Finite Element Analysismentioning

confidence: 99%

“…The phenomenon induced by fatigue loadings is an important issue for the industrial conception of rubber components. In this context, several studies have been elaborated in both cases for uniaxial loadings 3,[8][9][10][11][12][13][14] and multiaxial loadings. 7,[15][16][17][18][19][20][21][22][23] In the literature, various damage parameters have been used to study the fatigue life of rubbers, in particular, strain-based criteria.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Strain-based criterion for uniaxial fatigue life prediction for an SBR rubber: Comparative study and development

Belkhiria

Hamdi

Fathallah

2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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This work proposes an engineering approach to investigate the fatigue lifetime of styrene–butadiene rubber under uniaxial loadings. Two specimen geometries are considered: axisymmetric sample AE2 and diablo sample AE42. Specimens are cycled with a sinusoidal waveform at 5 Hz for different maximum displacement values and a zero load ratio. The various damage parameters, commonly used for fatigue life calculation, are reviewed and discussed. Then fatigue models with diverse damage parameters are generated from the fatigue lives experimentally observed for specimen AE2. The efficiency of each predictive model is evaluated in terms of coefficient of determination R2. It is shown that all the studied damage parameters allow excellent fatigue-life estimations with R2 greater than 0.9. A nonlinear finite element analysis model using ABAQUS software for specimen AE42 is then set up. It is found that the model developed for specimen AE2 is appropriate to estimate the fatigue life time of AE42. Indeed, the obtained fatigue live predictions are in excellent agreement with the experimental fatigue results.

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Section: Strain-based Damage Parametersmentioning

confidence: 99%

Section: Finite Element Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Strain-based criterion for uniaxial fatigue life prediction for an SBR rubber: Comparative study and development

Belkhiria

Hamdi

Fathallah

2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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show abstract

“…Existing researches accounting for strain ratios or other relevant factors usually establish equivalent strainlike or energy-like damage parameters based on the crack initiation method or crack propagation method. [13][14][15][16][17][18] Cadwell et al 13 initially demonstrated that the fatigue life of natural rubber is a function of both the minimum engineering strain and engineering strain range. Oshima et al 14 used a Haigh diagram to predict fatigue life of a rubber mount with different stress mean and stress amplitude.…”

Section: Introductionmentioning

confidence: 99%

Intelligent prediction of fatigue life of natural rubber considering strain ratio effect

Wang

Liu

2023

Fatigue Fract Eng Mat Struct

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An intelligent prediction model of rubber fatigue life considering strain ratios based on the support vector regression (SVR) and an improved sparrow search algorithm (ISSA) is proposed. In order to solve the problem that traditional methods may lead to unsatisfactory prediction results, we establish a prediction model based on SVR. To further improve the prediction accuracy, we utilize the ISSA algorithm to optimize various hyper‐parameters in the model. Fatigue tests of filled natural rubber on dumbbell‐type specimens are performed and applied to verify the effectiveness of the proposed model. The results show that the ISSA optimized SVR (ISSA‐SVR) model is superior in terms of prediction accuracy, convergence speed, and stability compared with SVR models using the grid search or some standard optimization algorithms. Furthermore, comparisons of some published related models demonstrate that the ISSA‐SVR has the most accurate predictive results, which gather within 1.5 times the dispersion lines.

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“…Rubber (Hevea brasiliensis Mull-Arg.) plantations are a source of natural rubber, a versatile material that is important to humans for daily life (Ngolemasango et al, 2008;Palosuo et al, 1998;Shibata et al, 2007). There is a constant demand for natural rubber globally: 12.27 million tonnes in 2014, which increased to 13.91 million tonnes in 2019, an average increment of 0.33 million tonnes/ year (Office of Agricultural Economics, 2020).…”

Section: Introductionmentioning

confidence: 99%

The Economic Value of Ecosystem Services of Rubber-Based Agroforest Plantations in South Thailand

Nattharom¹,

Roongtawanreongsri²,

Bumrungsri³

2021

JSSM

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The objective of this study was to estimate the ecosystem service values of three types of rubber-based agroforest plantations and monoculture rubber plantations in the southern region of Thailand, covering a life cycle of 25 years. Three ecosystem services were investigated in this study: timber production, CO 2 sequestration, and O 2 production. The study used data collected from 29 plantations and used growth prediction models from previous research to determine the quantity and value of the ecosystem services. The results showed that at at the 25 th year, the agroforest rubber plantation that cultivated Hevea brasiliensis Mull-Arg. with Hopea odorata Roxb., Shorea roxburghii G.Don. and Swietenia macrophylla King. provided the highest value of timber production, CO 2 sequestration and O 2 production (190622.62 USD/ha, 5918.5 USD/ha and 90779.3 USD/ha, respectively), whereas the monoculture rubber plantation provided the lowest value (11715.12 USD/ ha, 565.8 USD/ha and 6587.5 USD/ha, respectively). Overall, the agroforest plantations provided higher benefit than monoculture plantations. The findings can be used to support farmers and governmental agencies to diversify monoculture rubber plantations, which will ultimately contribute to environmental and human well-being.

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Fatigue Characteristics of Vulcanized Natural Rubber for Automotive Engine Mounting

Cited by 4 publications

References 4 publications

Strain-based criterion for uniaxial fatigue life prediction for an SBR rubber: Comparative study and development

Strain-based criterion for uniaxial fatigue life prediction for an SBR rubber: Comparative study and development

Intelligent prediction of fatigue life of natural rubber considering strain ratio effect

The Economic Value of Ecosystem Services of Rubber-Based Agroforest Plantations in South Thailand

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