MétaCan
Menu
Back to cohort
Record W2360967442

Properties of Air Plasma Sprayed Al_2O_3-3% TiO_2 Coatings

2010· article· en· W2360967442 on OpenAlexaboutno aff
Huichao Zhu

Bibliographic record

VenueChina Surface Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceIndentation hardnessMicrostructureCoatingNozzlePorosityPlasmaAdhesiveDeposition (geology)Composite materialGas dynamic cold sprayParticle (ecology)PlumeThermal sprayingMetallurgyLayer (electronics)
DOInot available

Abstract

fetched live from OpenAlex

Al2O3-3 % TiO2 coatings were prepared by conventional air plasma spray (APS) and air plasma spray with extended Laval nozzle in this paper.The phase composition,microstructure,adhesive strength and micro-hardness for the two techniques were characterized respectively by comparing with those of conventional APS Al2O3 coating.The significant difference between two Al2O3-3 % TiO2 coatings was investigated according to in-flight characteristic in plasma plume.The results showed that both of Al2O3-3 % TiO2 coatings were mainly composed of γ-Al2O3,and a small fraction of α-Al2O3 and fine crystal or noncrystal were also found in the coatings.APS with extended nozzle sprayed coatings exhibited worse properties in porosity,microhardness and adhesive strength than conventional APS,but the deposition efficiency for the former was obviously higher than the latter,which reached 70 % and greatly lowered the cost of coating production.Particle characteristic revealed that extension of nozzle decreased the in-flight velocity and prolonged the duration in plasma plume,which resulted in the decrease of adhesive strength and density and the increase of deposition efficiency.

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 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 score0.261
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 integrity0.0000.001
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 head0.005
GPT teacher head0.179
Teacher spread0.173 · 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 teacher head, not a consensus.

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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueChina Surface EngineeringSame topicHigh-Temperature Coating BehaviorsFrench-language works237,207