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Record W6982395940

Impact of HP-RTM process parameters on mechanical properties using epoxy and polyurethane

2015· article· en· W6982395940 on OpenAlexaboutno aff

Bibliographic record

VenuePublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsEpoxyTransfer moldingComposite numberPolyurethaneGlass fiberMolding (decorative)Process (computing)
DOInot available

Abstract

fetched live from OpenAlex

High pressure resin transfer molding is a method for processing continuous fiber reinforced composites at industrial production rates. This paper examines the more common HP-IRTM variant, where the 'I' stands for injection. To achieve a composite with the best mechanical properties, a combination of the fiber, resin and processing parameters must be understood. Two different matrix materials, epoxy and polyurethane, and two different fibers, glass and carbon, are processed on a KraussMaffei HP-RTM system at the Fraunhofer Project Center in London, Ontario, Canada. Several processing parameters are investigated during the manufacturing of these polymer matrix composites including the press force during injection, the press force during cure, and the injection rate. Subsequently, the manufactured parts are characterized and their mechanical properties are evaluated. The results of this study shed light on the critical properties and process settings in HP-RTM production.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.170
GPT teacher head0.313
Teacher spread0.143 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations1
Published2015
Admission routes1
Has abstractyes

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