Structure Property Correlation of Thermally Treated Hemp Fiber
Bibliographic record
Abstract
Abstract Summary: Hemp ( Cannabis sativa L. ) is an important ligno‐cellulosic raw material for the manufacture of cost‐effective environmentally friendly composite materials. Hemp plant samples of different initial condition (stem and bast fibers) were subjected to heating varying the temperature (from 160 to 260 °C) and the ambient heating environment (air and inert atmosphere). Weight measurements showed that all heat treatment resulted in a reduced weight of hemp. Those treated in air showed drastic decline in weight compared with those treated under nitrogen, especially at a temperature higher than 220 °C. Observation using optical and scanning microscope showed the possibilities of opening up of the fiber bundles in both heating environments. However, higher temperature and presence of air had a more severe effect on fibers and associated tissues compared to effects under nitrogen. Heat treatment at 220 °C under nitrogen seemed to provide enough fiber opening without affecting tissues of the fibers. SEM micrograph of the cross‐section of hemp fiber heat treated in air environment. magnified image SEM micrograph of the cross‐section of hemp fiber heat treated in air environment.
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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".