Rubber accelerated ageing life prediction by Peck model considering initial hardness influence

Liu, Qiaobin; Shi, Wenxiao; Chen, Zhiyong; Li, Kunheng; Liu, Helong; Li, Song

doi:10.1016/j.polymertesting.2019.106132

Cited by 21 publications

(12 citation statements)

References 29 publications

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“…Hardness dispersion of rubber samples can be statistically well described by a normal distribution model [ 47 ]. Thus, Shore A hardness was fitted by a random normal distribution.…”

Section: Methodsmentioning

confidence: 99%

Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements

et al. 2021

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The degradation of polymeric components is of considerable interest to the nuclear industry and its regulatory bodies. The objective of this work was the development of a methodology to determine the useful life—based on the storage temperature—of acrylonitrile O-rings used as mechanical sealing elements to prevent leakages in nuclear equipment. To this aim, a reliability-based approach that allows prediction of the use-suitability of different storage scenarios (that involve different storage times and temperatures) considering the further required in-service performance, is presented. Thus, experimental measurements of Shore A hardness have been correlated with storage variables (temperature and storage time). The storage (and its associated hardening) was proved to have a direct effect on in-service durability, reducing this by up to 60.40%. Based on this model, the in-service performance was predicted; after the first three years of operation the increase in probability of failure (POF) was practically insignificant. Nevertheless, from this point on, and especially, from 5 years of operation, the POF increased from 10% to 20% at approximately 6 years (for new and stored). From the study, it was verified that for any of the analysis scenarios, the limit established criterion was above that of the storage time premise considered in usual nuclear industry practices. The novelty of this work is that from a non-destructive test, like a Shore A hardness measurement, the useful life and reliability of O-rings can be estimated and be, accordingly, a decision tool that allows for improvement in the management of maintenance of safety-related equipment. Finally, it was proved that the storage strategies of our nuclear power plants are successful, perfectly meeting the expectations of suitability and functionality of the components when they are installed after storage.

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“…Hardness dispersion of rubber samples can be statistically well described by a normal distribution model [ 47 ]. Thus, Shore A hardness was fitted by a random normal distribution.…”

Section: Methodsmentioning

confidence: 99%

Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements

et al. 2021

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“…Liu et al adopted Peck model to predict the accelerated aging life of rubber material considering the initial material hardness. 9 Persson and Lorenz et al proposed the calculation method of rubber seal leakage rate based on the permeability and contact mechanics theory, and verified the correctness of the theoretical model by experiment. 10,11 Sun et al 12 simplified the rotating and static surfaces of the mechanical seal into a rough surface and an ideal smooth rigid surface based on the fractal theory, and built mechanical seal leakage model with time-varying characteristic considering wear effect to realize its leakage performance prediction.…”

Section: Introductionmentioning

confidence: 92%

Macroscopical contact pressure and microscopic leakage performance analysis of rubber seal considering thermal oxygen aging effect

Sun

Hao

Wang

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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Leakage performance of rubber seal is a key factor of spacecraft system, which is required long life. But the degradation law of the rubber seal performance in long service period is limited to qualitative analysis for its macro contact performance, and the quantitative research of rubber seal leakage performance is rarely involved considering thermal oxygen aging effect. Therefore, the thermal oxygen aging mathematical model is firstly established to predict the life of rubber material by aging tests. Secondly, the finite element model (FEM) of rubber seal performance analysis considering thermal oxygen aging effect is built to obtain the degradation law of its macroscopic contact performance with the increase of service time. Thirdly, the micro-leakage model of rubber seal considering thermal oxygen aging effect is established based on the material surface microstructure, contact pressure, and contact width, and the leakage rate of rubber seal is calculated by the model. Finally, the micro-leakage model of rubber seal is modified based on the experimental results, so the calculation accuracy of leakage rate is improved.

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“…An accelerated aging test is conducted by intensifying the factors that accelerate aging by using laboratory equipment to create conditions that exceed the normal service range [ 3 , 4 , 5 , 10 ]. The service life is predicted by modeling the changes in important mechanical properties, including the shore hardness, tension, impact, modulus, thermal decomposition, compression set (CS), and fatigue, under accelerated aging and setting reliability criteria [ 3 , 4 , 5 , 6 , 11 , 12 , 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

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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Rubber accelerated ageing life prediction by Peck model considering initial hardness influence

Cited by 21 publications

References 29 publications

Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements

Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements

Macroscopical contact pressure and microscopic leakage performance analysis of rubber seal considering thermal oxygen aging effect

Durability and Service Life Prediction of Fluorocarbon Elastomer under Thermal Environments

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