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Record W1504100587 · doi:10.1002/9780470291238.ch17

Thermal Behaviour of Thermal Barrier Coatings and Steel/Thermal Barrier Coatings Structures

2008· book-chapter· en· W1504100587 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCeramic engineering and science proceedings · 2008
Typebook-chapter
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceThermal barrier coatingThermal diffusivityCubic zirconiaCoatingYttria-stabilized zirconiaComposite materialPorosityThermal conductivitySubstrate (aquarium)Thermal resistanceThermalCeramic

Abstract

fetched live from OpenAlex

Thermally sprayed yttria stabilized zirconia thick coatings were deposited on mild steel substrates with two different structures: conventional and bimodal (including of non melted submicron particles) using 204B-NS and Nanox S4007 feedstock powders. Both steel/zirconia samples and freestanding zirconia samples were prepared to allow characterization of a variety of physical and thermal properties. Thermal diffusivity and conductivity data obtained from the freestanding and layered samples are used to evaluate the thermal contact resistance between the substrate and the coating. The investigation showed that a bimodal structure was obtained using the Nanox S4007 powder which exhibited a higher thermal diffusivity than the conventional coating. The thermal contact resistance is lower in the case of the steel/bimodal coating as well. The influence of microestructural features such a porosity and pore shapes are discussed.

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.

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)
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 score0.154
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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