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Record W7066841867

Influence of retting process on the thermal and mechanical properties of flax/polypropylene composites made of canadian oilseed flax fibers

2010· article· en· W7066841867 on OpenAlexfundvenueaboutno aff

Bibliographic record

VenueNPARC · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
FundersNational Research Council CanadaAgriculture and Agri-Food Canada
KeywordsRettingBast fibreUltimate tensile strengthComposite numberFlexural strengthThermal stabilityFiberGlass fiberNatural fiber
DOInot available

Abstract

fetched live from OpenAlex

Flax fibers are more and more used as reinforcing materials for composites in the field of material research because of their good mechanical properties, low abrasion, environmental friendliness and low cost. In this study, two kinds of Canadian oilseed flax fibers, dew-retted (F1) and enzyme-retted flax fibers (F2) were used as reinforcing material for flax/PP composites to investigate the influence of retting process on the composite properties Crystallization behavior, thermal stability and mechanical property of flax fiber reinforced PP composites were characterized in detail. It was shown that enzyme-retted flax with higher retting degree could lead to composites with better thermal and mechanical properties than dew-retted flax. PP composite reinforced with F2 presented 73% and 43% of tensile modulus and impact strenght higher than that of pure PP, respectively. In addtion, its tensile and flexural strengh were at least 35% higher than those of F1 reinforced PP composites.

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)0.001
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 score0.997
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
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)0.0010.000

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 head0.007
GPT teacher head0.218
Teacher spread0.211 · 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

Citations0
Published2010
Admission routes3
Has abstractyes

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