Development of virgin polypropylene composite by sugarcane bagasse reinforcement
Bibliographic record
Abstract
This research is aimed to produce a high strength composite by reinforcement sugarcane bagasse as filler into virgin polypropylene. Bagasse fiber is a by-product of the sugar cane industry whose role is sugar or biofuel production. The bagasse filler is divided into two parent categories which are the pith and the rind. This study is focused on the determination of the optimum fibre content which gives maximum strength for each parent category and establishing which parent category gives optimum results with respect to strength. For each category extrusion was carried out at a temperature of 190oC and screw speed of 50 to 70rpm, for fibre content of 10 wt% to 50 wt%. The compounded samples were then prepared into test specimens through injection molding and characterized by tensile testing, Fourier Transform Infrared Spectroscopy (FTIR) and Melt Flow Index (MFI). Based on the tests, the fibre content that gives the maximum strength is identified. Comparisons are made and it is established that the rind gives better strength as filler, compared to the pith and that a 30 wt% fibre composition gives maximum strength.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".