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Record W4376881503 · doi:10.31399/asm.cp.itsc2023p0336

Manufacturing and Icephobic Performance Evaluation of Cold Sprayed Adhesive Perfluoroalkoxy Alkane Coatings

2023· article· en· W4376881503 on OpenAlexaff
Z. Leclerc, Bertrand Jodoin, L. E. McMunn, Aleksandra Nastic

Bibliographic record

VenueThermal spray · 2023
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsWettingMaterials scienceAdhesiveContact angleComposite materialFrost (temperature)Gas dynamic cold sprayAdhesionNozzleDeposition (geology)PolymerCoatingMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Fluorinated polymer coatings are potential candidates for ice protection systems. The current work aims to develop such coatings using cold spray as a production method. A computational approach is used to design a new cold spray nozzle for the efficient deposition of adhesive perfluoroalkoxy alkane. The icephobicity of as-sprayed coatings are evaluated using three-fold characterization: surface’s wetting behavior, time-lapse study of water droplets freezing, and ice adhesion at both macro and microscopic levels. While the as-sprayed coatings exhibited sought superhydrophobic properties, their behavior changed when exposed to frost formation resulting in degraded wetting behaviors and much larger ice adhesion strength. This demonstrates the importance of frost formation when studying icephobic coatings.

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)0.002
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 score0.048
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.037
GPT teacher head0.265
Teacher spread0.228 · 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
Published2023
Admission routes1
Has abstractyes

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