A study on thermo mechanical fatigue life prediction of Ni-base superalloy |
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| Affiliation: | 1. Key Laboratory for Liquid Structure and Heredity of Materials, Ministry of Education, Shandong University, 17923 Jingshi Road, Jinan 250061, Shandong Province, China;2. National Institute for Materials Science, 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan;1. Laboratory Material Science, Ostbayerische Technische Hochschule Regensburg, 93053 Regensburg, Germany;2. MTU Aero Engines AG, 80995 Munich, Germany;3. Institut für Werkstoffkunde (Materials Science), Leibniz Universität Hannover, 30823 Garbsen, Germany;1. School of Energy and Power Engineering, Beihang University, Beijing 100191, China;2. Beijing Key Laboratory of Aero-Engine Structure and Strength, Beijing 100191, China;3. Collaborative Innovation Center of Advanced Aero-Engine, Beijing 100191, China;4. Hunan Aviation Powerplant Research Institute, Aero Engine (Group) Corporation of China, Zhuzhou 412002, China;5. Aero Engine Academy of China, Aero Engine (Group) Corporation of China, Beijing 101304, China;1. Engineering Materials, Department of Management and Engineering, Linköping University, 581 83 Linköping, Sweden;2. Department of Materials, University of Oxford, Parks Road, OX1 3PH Oxford, United Kingdom;1. Faculty of Metallurgical and Materials Engineering, Semnan University, Semnan, Iran;2. School of Metallurgy and Materials Engineering, Iran University of Science & Technology, Tehran, Iran |
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| Abstract: | Gas turbine blades are exposed to high-temperature degradation environments due to flames and mechanical loads as a results of high-speed rotation during operation. In addition, blades are exposed to thermo-mechanical fatigue due to frequent start and shutdown. Therefore, it is necessary to evaluate the lifetime of blade materials.In this study, the TMF life of a Ni-base superalloy applied to gas turbine blade was predicted based on LCF and TMF test results. The LCF tests were conducted under various strain ranges based on gas turbine operating conditions. In addition, IP (in-phase) and OP (out of-phase) TMF tests were conducted under various strain ranges.Finally, a fatigue life prediction model was drawn from the LCF and TMF test results. The correlation between the LCF and TMF test results was also evaluated with respect to fatigue life. |
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| Keywords: | Low cycle fatigue Thermo mechanical fatigue Life prediction |
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