Life Time Prediction of Elastomer for Automotive Vapor Fuel Hose

Lee, Pyoung‐Chan; Kim, Su‐Young; Jeoung, Sun-Kyoung; Ko, Youn-Ki; Ha, Jin-Uk; Lee, Ju-Yub; Kim, Minsu

doi:10.7317/pk.2022.46.3.397

Cited by 1 publication

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“…This also affects the service life of a material. Figure 5 b shows that, as in previous studies [ 3 , 16 ], the hardness rapidly increased in the early aging phase and then slowly increased. Furthermore, the hardness increase changed rapidly as the aging temperature increased.…”

Section: Resultssupporting

confidence: 84%

“…The measure of reliability is the reliability function as a function of service time t . The cumulative distribution function of the Weibull distribution, which is most widely used for reliability, can be expressed as [ 6 , 16 ]

where F(t) , n , and η denote the cumulative distribution function, shape parameter, and scale parameter, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, the scale parameter η of the service life distribution model can be replaced by the service life property in the accelerated model. Consequently, the scale parameter of the Weibull distribution can be expressed as being equal to the time-dependent speed ( k ) [ 6 , 16 ]:

where k 0 denotes a constant; E a denotes the activation energy (J mol −1 ); R denotes the gas constant (8.314 J·K −1 ·mol −1 ); and T denotes the absolute temperature (K). As a result, the cumulative distribution function in Equation (1) can be expressed as follows [ 6 , 16 ]:

…”

Section: Resultsmentioning

confidence: 99%

“…G-558 grade (tube 1; Daikin Co., Osaka, Japan) and DTR-5930GE grade (tube 2; Dowhon, Chengdu, China) ternary fluoroelastomers that are copolymers of vinylidene fluoride (VF2), hexafluoropropylene (VF6), and tetrafluoroethylene (VF4) were used in the experiments [ 16 ]. The samples of fluoroelastomers were fabricated and supplied by Hwaseung Materials Co. (Yangsan-si, Korea).…”

Section: Methodsmentioning

confidence: 99%

“…This study investigated the service life prediction of fluoroelastomers for an automotive vapor fuel hose based on changes in various physical parameters under thermal environments. Previous studies [ 3 , 16 ] used shore A under thermal environments as a physical parameter to derive an accelerated service life model based on the Arrhenius relation by applying the time–temperature superposition principle. In this study, the service life was predicted, and the activation energy was estimated based on changes in various physical parameters under thermal environments.…”

Section: Introductionmentioning

confidence: 99%

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Durability and Service Life Prediction of Fluorocarbon Elastomer under Thermal Environments

Lee

Kim

et al. 2022

Polymers

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This study investigated the service life prediction of fluorocarbon elastomers that are used in automotive vapor fuel hoses under thermal environments. The changes in mechanical properties such as the tensile strength, elongation, compression set (CS), and hardness according to thermal aging were investigated for two types of ternary fluoroelastomers. Destructive tests of the tensile strength and elongation showed large variations in the mechanical properties under the same condition because there is no continuity of samples. In contrast, nondestructive tests of the CS and hardness showed little variations in the mechanical properties under the same condition. The elongation, CS, and hardness were selected as the physical parameters for service life prediction as they showed a tendency according to the aging temperature, which is an accelerating factor. The effective activation energy derived using each physical parameter was 74.91–159.6 kJ mol−1, and the service life was 17.8–140 × 103 h based on B10. In this study, hardness, which has a small deviation between samples, is considered appropriate as mechanical parameter for predicting the service lifetime.

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Section: Resultssupporting

confidence: 84%

where F(t) , n , and η denote the cumulative distribution function, shape parameter, and scale parameter, respectively.…”

Section: Resultsmentioning

confidence: 99%