Useful Lifetime Prediction of Rubber Components Using Accelerated Testing

Woo, Chang Su; Choi, Sung Seen; Lee, Seong Beom; Kim, Hyun Sub

doi:10.1109/tr.2010.2042103

Cited by 62 publications

(37 citation statements)

References 6 publications

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“…In four-parameter ( 0 , 0 , 1 , 2 ) method 2, is a constant and not dependent on 0 , 1 , and 0 [14]. When the lifetime is −∞, the recovery is assumed to be 100% to make the recovery curve symmetric, as in (9). Therefore, four-parameter method 2 is actually the same as method 1, except that = 100 instead of the definition in (7) (Figure 4):…”

Section: Four-parameter Methodsmentioning

confidence: 99%

“…According to most references investigating a lifetime evaluation adopting the linear Arrhenius equation [9] for the ln( ) − (1/ ) relationship, where is the lifetime and is the temperature, small errors in the lifetime at high temperatures from the HALT evaluation may lead to large errors in the predicted lifetime at low temperatures. Unlike most papers, which do not consider the recovery∼ln( ) curve, one study made use of four parameters instead of two parameters in the Arrhenius plot to accurately draw the recovery∼ln( ) curve and correctly determine the long-term lifetime.…”

Section: Introductionmentioning

confidence: 99%

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Lifetime Analysis of Rubber Gasket Composed of Methyl Vinyl Silicone Rubber with Low-Temperature Resistance

Kwon

Jun

Song

2015

Mathematical Problems in Engineering

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Most machines and instruments constantly require elastomeric materials like rubber for the purposes of shock absorption, noise attenuation, and sealing. The material properties and accurate lifetime prediction of rubber are closely related to the quality of machines, especially their durability and reliability. The properties of rubber-like elastomers are influenced by ambient conditions, such as temperature, environment, and mechanical load. Moreover, the initial properties of rubber gaskets must be sustained under working conditions to satisfy their required function. Because of its technical merits, as well as its low cost, the highly accelerated life test (HALT) is used by many researchers to predict the long-term lifetime of rubber materials. Methyl vinyl silicone rubber (VMQ) has recently been adopted to improve the lifetime of automobile radiator gaskets. A four-parameter method of determining the recovery ability of the gaskets was recently published, and two revised methods of obtaining the recovery were proposed for polyacrylate (ACM) rubber. The recovery rate curves for VMQ were acquired using the successive zooming genetic algorithm (SZGA). The gasket lifetime for the target recovery (60%) of a compressed gasket was computed somewhat differently depending on the selected regression model.

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Section: Four-parameter Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lifetime Analysis of Rubber Gasket Composed of Methyl Vinyl Silicone Rubber with Low-Temperature Resistance

Kwon

Jun

Song

2015

Mathematical Problems in Engineering

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“…Today, EPDM production is growing exponentially. EPDM elastomers are widely exploited in the industry and therefore it is considered expedient to estimate the in-service lifetimes of such rubbers [3][4]. The modelling of the kinetic degradation of EPDM under the influence of climatic factors (e.i.…”

Section: Introductionmentioning

confidence: 99%

New mathematical models for predicting the lifetime of EPDM insulators: Effect of elongation at break on the kinetic degradation of EPDM insulators subjected to thermo-oxidation

Moussaceb¹,

Kashi²

2018

PEN

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Ethylene propylene diene monomer (EPDM) is an important polymer extensively exploited in plasturgy. However, relatively few studies have been carried out to predict the lifetime of EPDM in different climatic conditions particularly, thermo-oxidation. Based on this realization, the aim of the present work was to develop mathematical models for predicting the lifetime of EPDM elastomers, used for insulation of electric cables. The kinetic degradation of EPDM insulators, by monitoring change in a physical property (elongation at break test "ℇ r "), was studied by following its thermo-oxidative aging (70, 90, 110 and 130 ° C in air circulating oven). The multiple linear regression analysis (MLRA), solved by the Cholesky method, was the mathematical approach developed in the modeling of the kinetic degradation. In this study, we used two insulators materials when the first insulator contained an amorphous EPDM and the second contained a semicrystalline EPDM. The results showed that the polynomial models developed to predict elongation at break were reliable for both insulators under thermooxidation. The half-life times predicted by the mathematical models was found to be statistically significant (p< 0.05). In conclusion, the mathematical models developed in our study could be used confidently to predict the lifetime of EPDM elastomers.

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“…However, nitrile rubber is relatively sensitive to aging. [1][2][3] Much work has been done to study the aging behavior as well as the aging mechanism at elevated temperature, [4][5][6][7][8][9][10][11][12] , UV light [13] and Ozone. [14] .…”

Section: Introductionmentioning

confidence: 99%

Lifetime prediction of nitrile rubber under compression stress in transformer oil

Qian¹,

Xiao²,

Nie³

et al. 2016

Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

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Useful Lifetime Prediction of Rubber Components Using Accelerated Testing

Cited by 62 publications

References 6 publications

Lifetime Analysis of Rubber Gasket Composed of Methyl Vinyl Silicone Rubber with Low-Temperature Resistance

Lifetime Analysis of Rubber Gasket Composed of Methyl Vinyl Silicone Rubber with Low-Temperature Resistance

New mathematical models for predicting the lifetime of EPDM insulators: Effect of elongation at break on the kinetic degradation of EPDM insulators subjected to thermo-oxidation

Lifetime prediction of nitrile rubber under compression stress in transformer oil

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