Effect of Silicon Carbide Addition and Jute Fiber Surface Treatment on Functional Qualities of Low-Density Polyethylene Composites
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">In the modern era, advanced hybrid polymer-based composites have the potential to replace conventional polymers and exhibit unique behaviour. This study focuses on low-density polyethylene (LDPE) hybrid composite made with jute fiber and enhanced with nano silicon carbide particles through the injection moulding process. The natural jute fiber undergoes chemical surface treatment to improve its adhesive behaviour. The study evaluates the effects of 10wt% chemically treated jute fiber and 1, 3, and 5wt% of SiC on the structural, impact, tensile, and flexural strength of the synthesized composites according to ASTM D7565, D3039, and D790 standards. The structural behaviour of LDPE composites is assessed through X-ray diffraction analysis, revealing improved crystalline structure and interaction. Among the five prepared composite samples, the composite containing 10wt% treated jute fiber and 5wt% SiC demonstrated enhanced impact, tensile, and flexural strength of 5.7 J/mm<sup>2</sup>, 43 MPa, and 56 MPa, respectively.</div></div>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".