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A New Method of Metal Temperature Estimation for Service-Run Blades and Vanes

2004· article· en· W2335689718 on OpenAlexfundno aff
K. A. Ellison, Joseph A. Daleo, K. Hussain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsnot available
FundersMcMaster University
KeywordsMaterials scienceService (business)EstimationMetalMechanical engineeringMetallurgySystems engineeringEngineering

Abstract

fetched live from OpenAlex

A NiCoCrAlYRe overlay coating, SICOAT 2453 * exhibited a series of solid state transformations involving five equilibrium phase fields between room temperature and 1200ºC.The largest changes in , ' and phase fraction (over 50 v/o for and ') occurred in the temperature range 815ºC to 970ºC.These changes are potentially useful for metallurgical service temperature estimation, as they occur within the operating range of many combustion turbine blades and vanes.A phase fraction vs. temperature diagram was developed for SICOAT 2453 and used to estimate the local metal operating temperatures of a servicerun, single crystal PWA 1483 alloy first stage blade and a polycrystalline first stage MAR M 509 turbine vane coated with the NiCoCrAlYRe alloy.The strengths and limitations of the new temperature estimation method are discussed and compared to older methods of obtaining metal temperature estimates from service-run blades and vanes.

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)0.001
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.006
GPT teacher head0.243
Teacher spread0.237 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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