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Characterization and Properties of Alkali Treated Flax

2013· article· en· W2092486981 on OpenAlexafffundabout
Wei Hu, Minh Tan Ton-That

Bibliographic record

VenueApplied Mechanics and Materials · 2013
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsNational Research Council Canada
FundersDivision of Materials ResearchNational Research Council CanadaAgriculture and Agri-Food Canada
KeywordsUltimate tensile strengthAlkali metalMaterials scienceComposite materialFiberFourier transform infrared spectroscopyCharacterization (materials science)Natural fiberImpurityTensile testingCellulose fiberCellulosePolymerChemical engineeringChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Flax, a kind of natural fiber, has been widely applied as reinforcing materials for polymer composites because of its superior tensile properties. It normally contains noncellulose portions and other impurities, which could act as stress concentration regions to affect negatively the mechanical properties of composites. In this work, canadian linseed flax (F1) was treated by alkali to remove the noncellulose portions and impurities. The treated F1 was characterized in detail applying SEM, FTIR, TGA and single fiber tensile test for its promising application in composites as natural material. The proper condition of alkali treatment was explored and determined to be 2% of NaOH for 1h at 80°C. Under this condition, the mechanical property of the fiber was 10% better than that of untreated F1, and the non-cellulose portion removing ratio was more than 25% without hurting fiber structure.

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 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 score0.068
Threshold uncertainty score0.375

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 studies0.0000.000
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 head0.011
GPT teacher head0.190
Teacher spread0.179 · 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

Citations4
Published2013
Admission routes3
Has abstractyes

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