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Record W4394952150 · doi:10.21741/9781644903131-55

Influence of viscosity, binder activation, and loading rate on the membrane response of an infiltrated UD-NCF

2024· article· en· W4394952150 on OpenAlexaff
Renan Miranda Portela

Bibliographic record

VenueMaterials research proceedings · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsViscosityMembraneMaterials scienceComposite materialChemistryBiochemistry

Abstract

fetched live from OpenAlex

Abstract. Shear-tension coupling of engineering fabric is one of the most important behaviors during the draping phase of liquid composite molding (LCM) processes, including wet compression molding (WCM), which occurs with the infiltrated fabric and, in some cases, with the use of a stabilizing binder. In the present study, the membrane behavior of an impregnated and binder-stabilized uni-directional carbon fiber non-crimp fabric was characterized by performing off-axis tension tests. These tests allow the investigation of the influence of stabilizing binder, fluid viscosity and loading rate on the fabric membrane behavior. As result of these experimental tests, an increase in membrane force is noticed when the stabilizing binder is activated, attributed to a greater shear stiffness. Additionally, a decrease in forces is observed for impregnated fabric compared to dry textiles caused by a lubrication layer between fiber tows. The study provides a better understanding of the membrane behavior of the impregnated and binder-stabilized UD-NCF, which is relevant for a potential high-volume production process.

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)0.002
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 score0.044
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.034
GPT teacher head0.366
Teacher spread0.332 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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