MétaCan
Menu
Back to cohort
Record W2085533950 · doi:10.1177/0731684405048843

Finite Element Analysis of Transversely Isotropic Viscoelastic Material for Thermoforming Process

2005· article· en· W2085533950 on OpenAlexafffund
Fouad Erchiqui

Bibliographic record

VenueJournal of Reinforced Plastics and Composites · 2005
Typearticle
Languageen
FieldEngineering
TopicElasticity and Material Modeling
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsThermoformingViscoelasticityTransverse isotropyMaterials scienceFinite element methodComposite materialIsotropyMechanicsElasticity (physics)CompressibilityMaterial propertiesHyperelastic materialStructural engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

In this work, a dynamic finite element method is used in the modeling and numerical simulation of the transversely viscoelastic behavior of a thin, isotropic, and incompressible thermoplastic membrane. The transversely isotropic viscoelastic functional based on the kinetic theory of rubber elasticity is presented. The model is expressed in terms of four material parameters and equations relating these parameters. The thermoforming of the sheet is performed under the action of perfect gas flows. The Lagrangian formulation, together with the assumption of the membrane theory, is used in the finite element implementation. The numerical validation is performed by comparing the theoretical solution for the uniaxial and equibiaxial Hencky deformation with numerical results. Moreover, the influence of fiber direction in the transversely viscoelastic material on the thickness and on the stress distribution in the thermoforming sheet are analyzed.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.403
Threshold uncertainty score0.414

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 head0.212
Teacher spread0.205 · 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

Citations3
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Reinforced Plastics and CompositesSame topicElasticity and Material ModelingFrench-language works237,207