Enhancement of Processability of Rice Husk Filled High-density Polyethylene Composite Profiles
Bibliographic record
Abstract
The effect of coupling agent and processing aid on the performance properties of rice husk filled high-density polyethylene (HDPE) composites was studied. Composite profiles of HDPE filled with 65% rice husk were extruded using a single screw extruder with die dimensions of 3 8 mm. Processability and performance properties of the composites were highly dependent on the concentration of the coupling agent and processing aid in the composite formulation. Attempt was made to optimize the composite formulation with respect to both coupling agent and processing aid to attain optimum mechanical and water absorption properties with an optimum extrusion rate. Incorporation of a terpolymer (ethylene-acrylic ester-maleic anhydride) based coupling agent enhanced the properties of the composites with a significant reduction in the extrusion rate. Addition of processing aid enhanced the extrusion rate and showed a negative impact on the performance properties. Composites with a coupling agent to processing aid ratio of 0.73: 0.59 by weight showed an optimum combination of performance properties and extrusion rate.
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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 | 0.000 | 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".