MétaCan
Menu
Back to cohort
Record W4403850869 · doi:10.1080/01694243.2024.2417777

Surface treatment of PVC by corona discharged atmospheric air plasma for adhesive joining with AA 6061 aluminium alloy

2024· article· en· W4403850869 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Adhesion Science and Technology · 2024
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsUniversité du Québec à Chicoutimi
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceAluminiumAdhesiveAlloyComposite materialAluminium alloySurface modificationAdhesive bondingAtmospheric-pressure plasmaPlasmaMetallurgyChemical engineeringLayer (electronics)

Abstract

fetched live from OpenAlex

The effects of corona-discharged atmospheric plasma treatment on the surfaces of polyvinyl chloride (PVC) were studied for their application in adhesively joining PVC with AA 6061 aluminium alloy. Although no alteration has been observed in the topography of the treated PVC surfaces, ATR-FTIR analysis reveals the incorporation of –OH functional groups. Therefore, the untreated hydrophobic surface of PVC changes to a hydrophilic nature after corona treatment. Single lap shear (SLS) specimens were prepared using treated PVC and Al bonded with a room temperature cure epoxy adhesive. The obtained SLS strength of the joint between 20-second treated PVC and etched Al is found to be 15 times larger than that of untreated PVC with as-received Al.

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)0.001
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 score0.010
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.018
GPT teacher head0.271
Teacher spread0.253 · 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