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Record W1177000701 · doi:10.1520/stp14750s

Influence of Surface Treatments on Fretting Fatigue of Ti-6242 at Elevated Temperatures

2000· book-chapter· en· W1177000701 on OpenAlexaff
S.P. Chakravarty, J. W. Dyer, JC Conway, AE Segall, P.C. Patnaik

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsFrettingMaterials scienceMetallurgySurface (topology)Composite materialGeometryMathematics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.016
GPT teacher head0.220
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2000
Admission routes1
Has abstractyes

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