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Published on: March 7, 2018
Life Prediction Model for High-Cycle and Very-High-Cycle Fatigue of Ti-6Al-4V Titanium Alloy Under Symmetrical
Xi Fu1, Lina Zhang2, Wenzhao Yang3
1School of Machinery and Automation, Weifang University, Weifang 261061, China.
This study developed new models to predict the fatigue life of Ti-6Al-4V titanium alloy components in high-cycle and very-high-cycle ranges. The models improve life prediction accuracy for critical aero-engine parts, enhancing safety and performance.
Area of Science:
- Materials Science
- Mechanical Engineering
- Aerospace Engineering
Background:
- Ti-6Al-4V titanium alloy is crucial for aero-engine components like fans and discs.
- Modern aero-engines require component lifespans exceeding 10^8 cycles, rendering traditional infinite life design insufficient.
- High-cycle and very-high-cycle fatigue behavior is critical for ensuring the reliability of these components.
Purpose of the Study:
- To establish a nonlinear cumulative damage life prediction model for Ti-6Al-4V alloy under high-cycle fatigue.
- To develop a prediction model for very-high-cycle fatigue life by incorporating plastic strain energy and internal stress parameters.
- To enhance the accuracy of fatigue life predictions for titanium alloys in critical engineering applications.
Main Methods:
- Conducted symmetrical loading high-cycle fatigue tests on Ti-6Al-4V titanium alloy.
- Performed very-high-cycle fatigue tests to analyze material damage evolution.
- Introduced an internal stress parameter to describe plastic strain energy variation.
- Developed and validated fatigue life prediction models for both high-cycle and very-high-cycle regimes.
- Performed sensitivity analysis on the model parameters.
Main Results:
- Established nonlinear cumulative damage models for high-cycle and very-high-cycle fatigue.
- The models demonstrated good agreement with experimental test data.
- Sensitivity analysis and parameter optimization reduced the average prediction error from 59% to 38%.
- Quantified the role of plastic strain energy in very-high-cycle fatigue damage.
Conclusions:
- The developed fatigue models accurately predict the life of Ti-6Al-4V titanium alloy in the high-cycle and very-high-cycle ranges.
- Optimized model parameters significantly improve prediction accuracy, crucial for engineering applications.
- This research provides a valuable tool for predicting the operational lifespan of titanium alloy components in demanding environments like aero-engines.
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