MétaCan
Menu
Back to cohort

J0404-2-4 Cold spray deposition of PTFE powder

2009· article· en· W2743064744 on OpenAlexaboutno aff
Kazunori Suzuki, Maki FIJIWARA, Takayuki Kuwashima, Tetsuya Sonoda, Takashi Saitō

Bibliographic record

VenueThe proceedings of the JSME annual meeting · 2009
Typearticle
Languageen
FieldMaterials Science
TopicFlame retardant materials and properties
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceDeposition (geology)CoatingNozzleGas dynamic cold sprayComposite materialPowder coatingPolymerParticle (ecology)Chemical engineeringMetallurgy

Abstract

fetched live from OpenAlex

Cold spray deposition (CS) is a coating process by which coating can be produced by accelerating small solid particles to facilitate the deformation of particle upon impact, in an expanding gas stream in a converging-diverging de Laval type nozzle. CS applications will succeed in depositing of polymers, since without significant heating of the sprayed powder. The CS deposition by using PTFE powder was examined. However, the PTFE powder was not able to feed so that the powder was aggregate. In this report, the stabilization of the powder feed by the mixture of PTFE and inorganic material powders was examined. The powders mixed with PTFE and Al_2O_3 at a specific volume percentage stabilized the feed, and were able to form the PTFE film. The PTFE film that had been obtained by the CS method showed a super-water-repellency.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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.

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
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe proceedings of the JSME annual meetingSame topicFlame retardant materials and propertiesFrench-language works237,207