Effect of Propylene Carbonate on Physical Properties of Wood Fibreboard Composite
Bibliographic record
Abstract
The effect of propylene carbonate as an accelerator on the mechanical performance and dimensional stability of composites made from wood fibre bonded with wood resin and urea formaldehyde resin was investigated. The results demonstrated that the mechanical performance of the composite fibreboard cured at a relatively low temperature (e.g., 180 °C) could be markedly enhanced by addition of propylene carbonate. Composites cured at higher temperatures (e.g., 200 °C or 220 °C) and/or in presence of propylene carbonate, exceeded the minimum physical properties specified by ANSI-AHA. The addition of 3% propylene carbonate (by weight, based on total fibre and resin content) could optimise the physical properties of the composites. The tensile stress parallel-to-the-surface and the flexural strength and stiffness of the composites increased in presence of propylene carbonate.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.002 | 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".