High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances
Abstract Aircraft engine fans and compressor blades are inevitably subject to external damage during service. It’s an important work to predict the high cycle fatigue limit of foreign object damaged blades. In this paper, machining aerofoil specimens were manufactured to simulate the foreign object...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-03449-y |
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| author | Kainan Lu Yibo Shang Chen Wang Bin Li Xiaosheng Zhang Lingfeng Wang Zhenhua Zhao Liucheng Zhou Wei Chen |
| author_facet | Kainan Lu Yibo Shang Chen Wang Bin Li Xiaosheng Zhang Lingfeng Wang Zhenhua Zhao Liucheng Zhou Wei Chen |
| author_sort | Kainan Lu |
| collection | DOAJ |
| description | Abstract Aircraft engine fans and compressor blades are inevitably subject to external damage during service. It’s an important work to predict the high cycle fatigue limit of foreign object damaged blades. In this paper, machining aerofoil specimens were manufactured to simulate the foreign object damaged blade, and the high cycle fatigue limit of machining foreign object damaged TC17 titanium aerofoil specimen were tested at 3 × 107 cycles, and a high cycle fatigue limit prediction model of machining foreign object damaged TC17 titanium aerofoil specimen was built based on the theory of critical distances, and compared with the Peterson model. The prediction error is 9.56 ± 6.78% for theory of critical distance model and 59.76 ± 16.93% for Peterson model. The accuracy of fatigue limit prediction on notched samples using theory of critical distance model is much higher than that of Peterson model, and the theory of critical distances method model is more efficient to evaluate the fatigue strength of notched blade. |
| format | Article |
| id | doaj-art-eb161f6d938d4d9c99b37710e4a976e9 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-eb161f6d938d4d9c99b37710e4a976e92025-08-20T02:30:45ZengNature PortfolioScientific Reports2045-23222025-06-0115111410.1038/s41598-025-03449-yHigh cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distancesKainan Lu0Yibo Shang1Chen Wang2Bin Li3Xiaosheng Zhang4Lingfeng Wang5Zhenhua Zhao6Liucheng Zhou7Wei Chen8Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and AstronauticsFundamentals Department, Air Force Engineering UniversityFundamentals Department, Air Force Engineering UniversityFundamentals Department, Air Force Engineering UniversityFundamentals Department, Air Force Engineering UniversityJiangsu Aero-XY Technology Co., LtdState Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and AstronauticsNational Key Lab of Aerospace Power System and Plasma Technology, Air Force Engineering UniversityJiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and AstronauticsAbstract Aircraft engine fans and compressor blades are inevitably subject to external damage during service. It’s an important work to predict the high cycle fatigue limit of foreign object damaged blades. In this paper, machining aerofoil specimens were manufactured to simulate the foreign object damaged blade, and the high cycle fatigue limit of machining foreign object damaged TC17 titanium aerofoil specimen were tested at 3 × 107 cycles, and a high cycle fatigue limit prediction model of machining foreign object damaged TC17 titanium aerofoil specimen was built based on the theory of critical distances, and compared with the Peterson model. The prediction error is 9.56 ± 6.78% for theory of critical distance model and 59.76 ± 16.93% for Peterson model. The accuracy of fatigue limit prediction on notched samples using theory of critical distance model is much higher than that of Peterson model, and the theory of critical distances method model is more efficient to evaluate the fatigue strength of notched blade.https://doi.org/10.1038/s41598-025-03449-yTitanium alloyForeign object damageHigh cycle fatigue limitThe theory of critical distances |
| spellingShingle | Kainan Lu Yibo Shang Chen Wang Bin Li Xiaosheng Zhang Lingfeng Wang Zhenhua Zhao Liucheng Zhou Wei Chen High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances Scientific Reports Titanium alloy Foreign object damage High cycle fatigue limit The theory of critical distances |
| title | High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances |
| title_full | High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances |
| title_fullStr | High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances |
| title_full_unstemmed | High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances |
| title_short | High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances |
| title_sort | high cycle fatigue limit prediction of machining foreign object damaged tc17 titanium specimen based on the theory of critical distances |
| topic | Titanium alloy Foreign object damage High cycle fatigue limit The theory of critical distances |
| url | https://doi.org/10.1038/s41598-025-03449-y |
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