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Record W2168028442 · doi:10.5254/rct.15.85928

EFFECT OF PLASTICIZER EXTRACTION BY JET FUEL ON A NITRILE HOSE COMPOUND

2015· article· en· W2168028442 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.

Bibliographic record

VenueRubber Chemistry and Technology · 2015
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Science and PVC
Canadian institutionsDepartment of National Defence
Fundersnot available
KeywordsPlasticizerMaterials sciencePolymerGlass transitionChemical engineeringComposite material

Abstract

fetched live from OpenAlex

ABSTRACT Seven ester plasticizers were evaluated in a reference acrylonitrile–butadiene rubber (NBR) fuel hose compound with respect to extractability resistance to jet fuel. Plasticizers differed primarily in chemical structure (polarity) and molecular weight (monomeric vs polymeric). Plasticizer addition led to lower viscosity, maximum torque, modulus, tensile strength, and enhanced low temperature properties. Exposure to jet fuel caused plasticizer extraction resulting in compound softening due to absorption of the aromatic components in the fuel. The glass transition temperature shifted toward lower temperatures. Extraction resistance is enhanced by optimizing polymer–plasticizer compatibility and by using a higher molecular weight plasticizer. The use of the polymeric plasticizer A-8600 lowers the loss of other fugitive plasticizers, indicating the presence of specific plasticizer–plasticizer interactions. Of the monomeric and polymeric plasticizers, trioctyl trimellitate and A-8600, respectively, display the best combination of plasticizing ability and extraction resistance.

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)0.000
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 score0.004
Threshold uncertainty score0.347

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 integrity0.0000.000
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 head0.007
GPT teacher head0.254
Teacher spread0.246 · 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