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Record W2136235344 · doi:10.1002/pen.10866

Numerical simulations of polymer flow in flat spiral dies

2001· article· en· W2136235344 on OpenAlexaff
Martin Zatloukal, Costas Tzoganakis, John Perdikoulias, Petr Sáha

Bibliographic record

VenuePolymer Engineering and Science · 2001
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceMechanicsViscoelasticityIsothermal processDie (integrated circuit)Flow (mathematics)Spiral (railway)Constitutive equationFinite element methodDeformation (meteorology)Composite materialThermodynamicsMechanical engineeringPhysics

Abstract

fetched live from OpenAlex

Abstract The flow of a polymer melt through a flat spiral distribution system used in “stacked” type dies was analyzed through three‐dimensional finite element simulations, and predictions of the exit flow variation were compared to experimental measurements. Both isothermal and non‐isothermal simulations were carried out, and the non‐isothermal results were found to be in close agreement with the measured flow variation. It was found that for this particular flat spiral die, viscous dissipation is extremely crucial and may lead to generation of hot spots and to increased flow variation. Finally, the effect of material viscoelasticity on the flow field was simulated by using a CEF constitutive equation. It was shown that neglecting viscoelastic effects due to shear deformation, represented by primary and secondary normal stress coefficients, in the modeling of the flow in the flat spiral dies is a reasonable simplification. On the other hand, extensional behavior should be taken into account for a more suitable description of the leakage flows within this type of die.

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 score0.664
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.227
Teacher spread0.219 · 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

Citations14
Published2001
Admission routes1
Has abstractyes

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