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Record W3121747495 · doi:10.1002/app.50490

Mechanical properties and morphology of modified celluloid foams

2021· article· en· W3121747495 on OpenAlexaff
Morgane Massart, Charles Dubois, Marc Boileau

Bibliographic record

VenueJournal of Applied Polymer Science · 2021
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsGeneral Dynamics (Canada)Polytechnique Montréal
Fundersnot available
KeywordsPlasticizerMaterials scienceUltimate tensile strengthComposite materialNucleationCombustibilityMorphology (biology)MicrostructureBlowing agentModulusCombustionPolyurethaneChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Celluloid is a highly flammable plastic made of nitrocellulose and camphor, as a plasticizer, and it has recently received interest as a material for making combustible containers. For this particular application, the inherent combustion properties of celluloid are enhanced by foaming the material. This work evaluates novel celluloid‐like formulations in which camphor is replaced by alternative plasticizers and alternative nucleating agents are also evaluated to further improve the properties of the foams. The effects of these new components on the tensile properties and on the morphology of the combustible plastic are investigated for three plasticizers and for two nucleating agents. Results show that some plasticizers bring mechanical properties exceeding those of regular celluloid, an improvement of Young modulus and tensile stresses by more than 100% was observed. The effect of the nucleating agent on the foamed material's microstructure is also clearly observed, size and number of cells are correlated to the nature and the concentration of the nucleating agent.

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 score0.007
Threshold uncertainty score0.330

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 studies0.0000.001
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 head0.021
GPT teacher head0.223
Teacher spread0.202 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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