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Record W2006417847 · doi:10.1002/cjce.22032

Wheat straw fibre size effects on the mechanical properties of polypropylene composites

2014· article· en· W2006417847 on OpenAlexaffvenue
Rois Fatoni, Leonardo C. Simon, Ali Elkamel, Ali Almansoori

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2014
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsComposite materialMaterials scienceStrawPolypropyleneCompoundingComposite numberThermoplasticThermoplastic compositesAgronomy

Abstract

fetched live from OpenAlex

This study presents the work on process‐mixture design of an experiment for wheat straw polypropylene. Fibre length and aspect ratio are two process variables that have significant impact on the mechanical properties of the composite material. Wheat straw was powdered to produce fibres, and those were fractionated into different fibre fractions to create grades with distinct fibre length and aspect ratio. These grades of fibres were used to evaluate the performance of those fractions as grades of straw fibre with respect to the performance in the final thermoplastic composites. The composite samples were made from each fibre grade at two different fibre loadings: 30 and 50 wt. %. One of the important findings of this work is the pattern of fibre size reduction during the compounding processes. These patterns can be used to correlate and optimise the utilisation of different fibre sizes of straw fibre for different applications in thermoplastic composites. For example, fibres with initial width of about 360 µm are the best fibres when a balance between modulus and impact properties is needed.

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)0.001
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 score0.002
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.007
GPT teacher head0.171
Teacher spread0.165 · 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

Citations9
Published2014
Admission routes2
Has abstractyes

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