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Record W1999339004 · doi:10.1177/073168403027911

Rheological Characterization of Fiber-Filled Polymer Composites via Constitutive Modeling

2003· article· en· W1999339004 on OpenAlexafffund
M. Beaulne, Evan Mitsoulis

Bibliographic record

VenueJournal of Reinforced Plastics and Composites · 2003
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceConstitutive equationViscoelasticityComposite materialRheologyFiberNewtonian fluidMechanicsThermodynamicsFinite element method

Abstract

fetched live from OpenAlex

A constitutive equation is proposed to describe the steady-state and dynamic rheological properties of fiber-filled viscoelastic media. The constitutive equation used to describe the viscoelastic effects is an integral equation of the K-BKZ type, suitable for polymer solutions and melts. The contribution to the total stress of the composite due to the presence of fibers is accounted for by the extra stress tensor proposed by Dinh and Armstrong for fiber-filled Newtonian liquids. Steady-state predictions of the constitutive equation are compared with experimental measurements of fiber-filled viscoelastic media, namely polypropylene and nylon-66, for different sized fibers and different volume fractions. The constitutive equation predicts qualitatively the rheological properties of fiber-filled viscoelastic media.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.485

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 head0.008
GPT teacher head0.200
Teacher spread0.192 · 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 designSimulation or modeling
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

Citations10
Published2003
Admission routes2
Has abstractyes

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