Wheat straw fibre size effects on the mechanical properties of polypropylene composites
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".