Grain size based low cycle fatigue life prediction model for nickel-based superalloy |
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Authors: | Peng ZHANG Qiang ZHU Gang CHEN He-yong QIN Chuan-jie WANG |
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Affiliation: | 1. School of Materials Science and Engineering, Harbin Institute of Technology at Weihai, Weihai 264209, China;2. Central Iron & Steel Research Institute, Beijing 100081, China |
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Abstract: | Nickel-based superalloys are easy to produce low cycle fatigue (LCF) damage when they are subjected to high temperature and mechanical stresses. Fatigue life prediction of nickel-based superalloys is of great importance for their reliable practical application. To investigate the effects of total strain and grain size on LCF behavior, the high temperature LCF tests were carried out for a nickel-based superalloy. The results show that the fatigue lives decreased with the increase of strain amplitude and grain size. A new LCF life prediction model was established considering the effect of grain size on fatigue life. Error analyses indicate that the prediction accuracy of the new LCF life model is higher than those of Manson-Coffin relationship and Ostergren energy method. |
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Keywords: | nickel-based superalloy low cycle fatigue life prediction model grain size |
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