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Record W2019445305 · doi:10.1177/0021998308102035

Determination of Shrinkage and Modulus Development of Thermosetting Resins

2009· article· en· W2019445305 on OpenAlexafffund
Suong V. Hoa, Paul Ouellette, Tuan Ngo

Bibliographic record

VenueJournal of Composite Materials · 2009
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShrinkageThermosetting polymerMaterials scienceComposite materialEpoxyModulusUltrasonic sensorYoung's modulusDynamic modulusElastic modulusDynamic mechanical analysisPolymerAcoustics

Abstract

fetched live from OpenAlex

A new method for the determination of shrinkage and modulus development of thermoset resins is described. The method uses the change in the time of travel of longitudinal ultrasonic waves in a couplant to determine the change in height of a column of resin. This change in height is used to determine shrinkage. The method also uses the time of travel of ultrasonic waves through a column of resin to determine the modulus of the resin. The technique allows continuous monitoring of shrinkage and modulus as the material changes from the liquid state to the solid state. This method is used to determine the shrinkage and modulus development for a common epoxy resin.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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
Published2009
Admission routes2
Has abstractyes

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