Mechanical, wear and thermal behaviour of hemp fibre/egg shell particle reinforced epoxy resin bio composite
Bibliographic record
Abstract
The aim of this work is to examine the mechanical, tribological, and thermal behaviour of hemp fibre reinforced egg shell epoxy polymer composites. Experiments are carried out to study the effect of fiber and filler volume percentage on mechanical, wear, and thermal behaviour of epoxy based polymer composites. The volume of fibre and filler is varied by 30%, 40%, and 50% and 0.25%, 0.5%, and 1.0%, respectively. The specimens are fabricated by using hand layup technique. The specimens are expurgated according to ASTM standards. The mechanical tests such as hardness, tensile, impact and flexural strength are evaluated and abrasive wear behaviour of the specimen was investigated using a pin-on-disc machine. The thermal stability was evaluated using a thermo gravimetric analyzer. The effects of hemp fibre and filler were examined under different mechanical and thermal conditions. The mechanical results show that the addition of fibre increased the load bearing characters of epoxy resin, whereas the addition of egg shell filler increased thermal stability of the composite.
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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".