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Record W3169406485 · doi:10.5006/c2021-16288

Oxidation Reactivity of Heat-Resistant Ni-Cr Alloys Exposed in Wet Air at 900 °C

2021· article· en· W3169406485 on OpenAlexaff
Mirnaly Saenz de Miera, J.R. Kish, P. Poruks, Michael Györffy, Harvey Fraser, Matthew Webb

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsReactivity (psychology)MetallurgyMaterials scienceCorrosion

Abstract

fetched live from OpenAlex

Abstract The relative wet oxidation reactivity of two centrifugally-cast, heat-resistant Ni-Cr alloys is presented for an isothermal (900 °C) in wet (10% H2O) air up to 500 h. Both 48Ni-45Cr and 41Ni-32Cr exhibit a similar weight loss after 500 h, which suggests a similar relative reactivity. However, there are three aspects that suggest there is a difference in the relative wet oxidation reactivity. These include: (i) a different kinetic rate law (cubic for 41Ni-35Cr and parabolic for 48Ni-45Cr), (ii) a different susceptibility to internal oxidation (deeper in 48Ni-45Cr) and (iii) a difference in the degree of oxide spallation observed upon cooling to room temperature (significantly higher for 41Ni-35Cr). These relative differences are discussed by establishing links to the oxide scale morphology for (i) above and the underlying microstructure for (ii) and (iii) above.

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)0.000
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.013
GPT teacher head0.222
Teacher spread0.210 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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