Thermal conductivity behavior of oil palm/jute fibre-reinforced hybrid composites
Bibliographic record
Abstract
In this study epoxy matrix, oil palm empty fruit bunch (EFB) fibres, jute fibres and oil palm EFB/jute fibre reinforced epoxy hybrid composites in different layering pattern at EFB: jute ratio (50:50) fabricated by hand lay-up technique. The thermal conductivity of epoxy matrix, oil palm EFB, jute and oil palm EFB/jute hybrid reinforced epoxy composites has been evaluated by Hot Disk Thermal Constants Analyser (Hot Disk TPS2500 S) equipped with Hot Disk Analysis Software version 5.9. Obtained results indicated that thermal conductivity of epoxy matrix increased with reinforcing of oil palm EFB and jute fibres. Hybridization of oil palm EFB with jute fibres allows an increased in thermal conductivity of oil palm EFB/jute hybrid composites. We concluded that oil palm EFB/jute hybrid composites can be used for thermal applications in automotive and construction industry to save energy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".