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Simulation on Fatigue Life of Aluminum Metal Sealing Ring Based on the Temperature Cycle Failure Mechanism |
Received:May 11, 2020 Revised:May 20, 2020 |
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DOI:10.7643/issn.1672-9242.2021.02.021 |
KeyWord:metal sealing ring finite element fatigue simulation accelerated life test vacuum |
Author | Institution |
ZHANG Wei-yu |
Nuclear Industry Institute of Physical and Chemical Engineering, Tianjin , China |
ZHANG Li-yuan |
Nuclear Industry Institute of Physical and Chemical Engineering, Tianjin , China |
ZHANG Zhi-ping |
Nuclear Industry Institute of Physical and Chemical Engineering, Tianjin , China |
JIANG Zheng-he |
Nuclear Industry Institute of Physical and Chemical Engineering, Tianjin , China |
XU Zhong-zheng |
Nuclear Industry Institute of Physical and Chemical Engineering, Tianjin , China |
WANG Chun-lei |
Nuclear Industry Institute of Physical and Chemical Engineering, Tianjin , China |
LIU Gao |
Hunan Gingko Reliability Technology Institute Co., Ltd, Changsha , China |
YANG Hang |
Hunan Gingko Reliability Technology Institute Co., Ltd, Changsha , China |
FENG Jing |
Hunan Gingko Reliability Technology Institute Co., Ltd, Changsha , China |
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Abstract: |
Aiming to solve the problem that the life of metal sealing ring is difficult to predict, this paper proposed a fatigue simulation method to predict the service life of metal sealing ring effectively based on the failure mechanism of metal sealing ring. The metal sealing ring installation process and its service process were simulated by the finite element simulation method to obtain the stress distribution of the metal sealing ring in the service process, and then a fatigue simulation on the service life of the metal sealing ring was conducted based on the Conffin-Manson fatigue model. Lastly, the simulation result was verified by an accelerated life experiment. The simulation results show that the service life of the metal sealing ring obtained from the fatigue simulation is 26,915 temperature cycles, and the accelerated life experimental results is 28,401 temperature cycles, and the simulation error is only 5.23%. Therefore, it can be concluded that the constructed installation process and fatigue simulation models are consistent with the actual situation. |
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