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Record W635629985 · doi:10.1520/stp14732s

Fretting Fatigue of Some Nickel-Based Alloys in Steam Environment at 265°C

2000· book-chapter· en· W635629985 on OpenAlexaff
MH Attia

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsOntario Power Generation
Fundersnot available
KeywordsFrettingMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

In comparison with plane fatigue, fretting damage may lead to a substantial decrease in the fatigue strength of the material due to the addition of alternating frictional stresses, and the continuous destruction of the surface oxide. Fretting fatigue and plain fatigue tests have been conducted to establish the effect of fretting on the fatigue strength of two nickel-based alloys, Inconel 600 and Incoloy 800 against carbon steel and 410S stainless steel, respectively. The tests were conducted in steam environment at 265°C. The main test variables were the contact pressure 0 < pc < 138 MPa and the mean stress 0 < σm < 138 MPa. The results of the S-N curves for plain and fretting fatigue tests indicated that the reduction factor in the fatigue strength of Inconel I-600 alloy due to fretting is in the range of 2.2 to 3.5, depending on the loading conditions. The results also showed that Incoloy I-800 is more susceptible to fretting fatigue than I-600 by approximately a factor of 1.5.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.588
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)0.0130.000

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 head0.019
GPT teacher head0.196
Teacher spread0.177 · 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 designSimulation or modeling
Domainnot available
GenreOther

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

Citations6
Published2000
Admission routes1
Has abstractyes

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