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Record W2038852794 · doi:10.1002/pen.21869

Biaxial stretching of polymers using a novel and versatile stretching system

2011· article· en· W2038852794 on OpenAlexaff
Abou el kacem Qaiss, Mostapha Bousmina

Bibliographic record

VenuePolymer Engineering and Science · 2011
Typearticle
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsUniversité Laval
FundersAcadémie Hassan II des Sciences et TechniquesAcadémie Hassan II des Sciences et Techniques
KeywordsMaterials sciencePolypropyleneTransverse planeComposite materialPolymerDisplacement (psychology)PolyethyleneTraction (geology)Mechanical engineeringStructural engineering

Abstract

fetched live from OpenAlex

Abstract A novel versatile biaxial stretching module that can be adapted to any uniaxial traction testing machine was developed to generate consecutive or simultaneous two‐directional biaxial stretching at various stretching ratios and draw rates. The module allows direct conversion of the uniaxial machine displacement to transverse displacement with a precise adjustment of the stretch ratio between the transverse of the longitudinal strains. Additionally, the developed device allows simultaneous measurements of films mechanical properties in the two directions. The efficiency and the accuracy of the module were verified without and with standard polymer films such as polypropylene and high density polyethylene. 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.191
Teacher spread0.176 · 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 source (direct Gemma or distilled Codex), 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

Citations26
Published2011
Admission routes1
Has abstractyes

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