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Record W2097628693 · doi:10.1177/0309324711407707

Prediction of creep properties for two nickel-base superalloys from stress relaxation testing

2011· article· en· W2097628693 on OpenAlexaff
J. Beddoes

Bibliographic record

VenueThe Journal of Strain Analysis for Engineering Design · 2011
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsCarleton University
Fundersnot available
KeywordsCreepSuperalloyMaterials scienceStress relaxationStress (linguistics)Strain rateSteady state (chemistry)MetallurgyDiffusion creepRelaxation (psychology)Composite materialMicrostructureChemistry

Abstract

fetched live from OpenAlex

The creep properties derived from stress relaxation tests are compared to those from creep tests in the temperature range from 705 °C to 800 °C and stresses from 200 MPa to 750 MPa for the nickel base superalloys IN738LC and modified Waspaloy. The creep behaviour of IN738LC exhibits an extended period of steady state strain rate, while creep of modified Waspaloy exhibits only a minimum creep strain rate. The results indicate that stress relaxation tests can be used to estimate the creep steady state or minimum strain rates, time to 1 per cent creep strain, and the creep stress exponent for both superalloys. Stress relaxation tests can generate these properties in a significantly more time-efficient and specimen-efficient manner than creep tests, regardless of whether the superalloy creep behaviour exhibits a steady state or minimum creep strain rate.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.063
GPT teacher head0.205
Teacher spread0.142 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2011
Admission routes1
Has abstractyes

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