Name
Title | ||
|---|---|---|
Prediction of Fatigue Crack Growth in Gas Turbine Engine Blades Using Acoustic Emission. |
Abstract | ||
|---|---|---|
Fatigue failure is the main type of failure that occurs in gas turbine engine blades and an online monitoring method for detecting fatigue cracks in blades is urgently needed. Therefore, in this present study, we propose the use of acoustic emission (AE) monitoring for the online identification of the blade status. Experiments on fatigue crack propagation based on the AE monitoring of gas turbine engine blades and TC11 titanium alloy plates were conducted. The relationship between the cumulative AE hits and the fatigue crack length was established, before a method of using the AE parameters to determine the crack propagation stage was proposed. A method for predicting the degree of crack propagation and residual fatigue life based on the AE energy was obtained. The results provide a new method for the online monitoring of cracks in the gas turbine engine blade. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/s18051321 | SENSORS |
Keywords | Field | DocType |
acoustic emission,gas turbine engine blades,fatigue life prediction,fatigue crack propagation | Residual,Online identification,Gas turbines,Fatigue testing,Electronic engineering,Fracture mechanics,Titanium alloy,Paris' law,Engineering,Acoustic emission,Structural engineering | Journal |
Volume | Issue | Citations |
18 | 5.0 | 1 |
PageRank | References | Authors |
0.41 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiheng Zhang | 1 | 3 | 2.82 |
| Guoan Yang | 2 | 2 | 0.79 |
| Kun Hu | 3 | 11 | 5.64 |