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Record W2015990707 · doi:10.1002/pen.21806

Rheology/morphology relationship of plasticized and nonplasticized thermoplastic elastomers based on ethylene–propylene–diene–terpolymer and polypropylene

2011· article· en· W2015990707 on OpenAlexaff
Shant Shahbikian, Pierre J. Carreau, Marie‐Claude Heuzey, Maria D. Ellul, Hari P. Nadella, John Cheng, Pradeep Shirodkar

Bibliographic record

VenuePolymer Engineering and Science · 2011
Typearticle
Languageen
FieldMaterials Science
TopicPolymer crystallization and properties
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsMaterials sciencePlasticizerRheologyEthylene propylene rubberComposite materialPolypropyleneElastomerCopolymerPhase (matter)ThermoplasticPolymerViscoelasticityThermoplastic elastomerPolymer chemistryOrganic chemistryChemistry

Abstract

fetched live from OpenAlex

Abstract The rheology/morphology relationship of plasticized and nonplasticized ethylene–propylene–diene–terpolymer/polypropylene (EPDM/PP) TPOs was studied. The aim was to investigate the effect of a plasticizer on the morphology, specially on the co‐continuity interval of these blends. The addition of a plasticizer increased the interconnectivity of the elastomeric phase, resulting in a rapid percolation of the EPDM at a relatively low composition range as compared to the nonplasticized counterparts. However, the addition of the plasticizer did not change the onset of the co‐continuity interval in the low EPDM content side of the composition diagram. Moreover, due to plasticization, the percolation of the PP phase was delayed on the other side of the composition diagram. Large differences between the viscous and elastic properties of the constituent polymers were observed. Hence, a combination of low frequency measurements and a gel approach were crucial to characterize the co‐continuity interval using rheology. The phase inversion compositions were fairly well described by existing semi‐empirical viscosity ratio‐based models. Furthermore, a satisfactory prediction was obtained for the viscoelastic properties of the nonplasticized TPOs using a micro‐mechanical model. However, this model failed in the case of the plasticized TPOs, due to the probable presence of a plasticized interphase. POLYM. ENG. SCI., 2011. ©2011 Society of Plastics Engineers

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)0.000
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 score0.114
Threshold uncertainty score0.830

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 studies0.0000.001
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 head0.020
GPT teacher head0.208
Teacher spread0.189 · 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

Citations17
Published2011
Admission routes1
Has abstractyes

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