Influence of Surface Treatments on Fretting Fatigue of Ti-6242 at Elevated Temperatures
Bibliographic record
Abstract
Where fretting fatigue of titanium alloy gas turbine engine component is concerned, the effect of temperature on fretting processes can be quite significant. Service exposed third stage compressor blades, operating at 454°C or 850°F, showed severe signs of fretting, wear, CuNiln coating delamination, oxidation and pitting on the dovetail pressure surfaces. Under cyclic loading conditions fretting fatigue cracks, initiated in these damaged areas, can cause dramatic reduction in fatigue life of these components leading to potential catastrophic failure. A study has been carried out to evaluate the influence of various surface treatments, such as ion treatments, coatings and shot peening, on the fretting fatigue life of titanium alloy gas turbine engine components at elevated temperature. Results from high temperature fretting fatigue and pin-on-disk wear tests are discussed in this paper. Significant contrast between the wear and fatigue test results illustrates the potential dangers of using sliding wear tests to rank surface treatments for fretting fatigue amelioration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".