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Record W4312855757 · doi:10.31399/asm.cp.itsc2009p0231

Effects of Gas Temperature, Gas Pressure, and Particle Characteristics on Cold Sprayed Pure Titanium Coatings

2009· article· en· W4312855757 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

VenueThermal spray · 2009
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsNational Research Council CanadaMcGill University
Fundersnot available
KeywordsMaterials sciencePropellantCoatingGas dynamic cold sprayTitaniumHeliumHelium gasPorosityNitrogenComposite materialParticle (ecology)FlatteningParticle densityWork (physics)Bar (unit)MetallurgyThermodynamicsVolume (thermodynamics)Chemistry

Abstract

fetched live from OpenAlex

Abstract This work investigates the influence of nitrogen gas pressure and temperature on the structure and properties of cold sprayed titanium coatings. Two guns were used to assess the effect of impinging particle temperature. Particle speed was measured and used to calculate critical velocity for selected experimental conditions. The results show that increasing the temperature and pressure of the gas propellant reduces coating porosity and increases hardness, flattening ratio, and deposition efficiency. At the maximum pressure and temperature (40 bar and 800 °C) for nitrogen gas, coating density was close to the value reported for cold sprayed titanium produced using helium as the propellant.

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 score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.004
GPT teacher head0.199
Teacher spread0.195 · 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