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Record W4385423323 · doi:10.3390/coatings13081330

On the Applicability of Modified Water-Based Yttria-Stabilized Zirconia Suspensions to Produce Plasma-Sprayed Columnar Coatings

2023· article· en· W4385423323 on OpenAlexafffund
Amirhossein Yaghtin, Maryam Yaghtin, Pooria Najafisayar, Zhaolin Tang, Tom Troczynski

Bibliographic record

VenueCoatings · 2023
Typearticle
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsUniversity of British Columbia
FundersUniversity of Toronto
KeywordsYttria-stabilized zirconiaMaterials scienceDispersantCubic zirconiaCoatingMicrostructureChemical engineeringSubstrate (aquarium)Suspension (topology)Deposition (geology)Surface roughnessThermal sprayingComposite materialCeramicDispersion (optics)

Abstract

fetched live from OpenAlex

In this paper, the applicability of the modified water-based yttria-stabilized zirconia (YSZ) suspensions, including different dispersants, to produce plasma-sprayed coatings with a “columnar microstructure” is investigated. The effects of processing parameters, like the suspension liquid-phase ethanol content, change in substrate roughness, and spray distance on the resulting coating morphologies, are investigated. The results showed that increasing the ethanol concentration, substrate surface roughness, and spray distance promotes the formation of coatings with a columnar structure. Moreover, the application of modified water-based suspensions, including the α-Terpineol dispersant, has led to the deposition of columnar coatings with comparable morphologies of coatings deposited from ethanol-based suspensions.

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)0.002
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 score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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