Mechanical and sound absorption performance of cashew apple bagasse and mahogany fruit-based hybrid composites
Bibliographic record
Abstract
Mechanical and acoustic properties were studied for hybrid composites developed from Cashew Apple Bagasse (CAB) fibers and Mahogany tree Fruit Filler (MFF) in an epoxy matrix. The effect of alkali treatment (5% and 10% NaOH solutions) on CAB fiber composites at different weight fractions of MFF (0 to 25 wt%) was studied. The composites including 15 to 20 wt% MFF and treated with 5% NaOH offered the highest performance. Tensile, flexural, and impact strengths were improved by 40%, 50%, and 45.7%, respectively, when compared to untreated ones; also, a 56.7% increase in noise reduction coefficient (NRC) was measured. These enhancements can be attributed to the removal of surface impurities on the fiber surface, improving fiber-matrix bonding, and achieving even dispersion of filler in the matrix. Using alkali treatment with NaOH concentration exceeding 10% and with a higher filler content (> 20 wt%) embrittled the fibers, at the same time allowing them to clump together, which decreased both mechanical and acoustic performance. The best approach was to combine CAB and MFF in appropriate quantities into a hybrid composite, striking a good balance between reinforcement and load transfer efficiency. These composites are intended to be used in car interiors, soundproof panels, and lightweight structural parts.
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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 | 0.000 | 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) | 0.000 | 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".