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
                          
AuthorInstitution
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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