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Record W6982456924

Influence of cooling rates on microstructure and mechanical performance of continuous fiber reinforced PPS composites

2012· other· en· W6982456924 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2012
Typeother
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsMicrostructureSpherulite (polymer physics)CrystallinityDifferential scanning calorimetryCrystallizationComposite numberFiberNylon 66
DOInot available

Abstract

fetched live from OpenAlex

In this study, the influence of the cooling rate on the crystallization temperature, level of crystallinity, spherulite size and mechanical properties was investigated for two continuous fibers reinforced polyphenylene sulfide (PPS) composites. Crystallization temperature and level of crystallinity were first studied by differential scanning calorimetry (DSC) for cooling rates comprised between 5 and 70°C/min. Results obtained showed that level of crystallinity was not significantly influenced by the cooling rate, while crystallization temperature decreased with increasing cooling rate. Matrix microstructure and composite short beam shear strength were then characterized for cooling rates of 3, 15 and 20°C/min. These cooling rates were chosen because they are representative of cooling rates used in autoclave manufacturing and compression molding. To enhance the microstructure of the PPS matrix, an etching solution based on potassium permanganate and orthophosphoric acid was used.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.996

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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.

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

Citations1
Published2012
Admission routes1
Has abstractyes

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