Optimization of Resinification of Liquefied Products from Trash Antiseptic Wood
Bibliographic record
Abstract
In this study, Anticorrosive fir was liquefied in phenol, and the liquefied wood were used to produce adhesive by resinification. The effect of resinification time, resinification temperature, molar ratio (NaOH/liquefied wood) and molar ratio (methanal/liquefied wood) on resinification was investigated by orthogonal experiments in term of the viscosity, solid content and pH of resinification product. Adhesive produced by resinification was then used for plywood production, and plywood strength was detected to assess adhesive. According to experiment results, the optimal conditions of resimification are as follow: resinification time of 150 min, resinification temperature of 90°C, molar ratio (NaOH/liquefied wood) of 0.5 and molar ratio (methanal/liquefied wood) of 1.8. Using adhesive produced under the optimal conditions to bond plywood, the bonding strength and formaldehyde emission of plywood produced accorded with related national standard (china), and the plywood produced belonged to calss I. Key words : Antiseptic woods; Resinification; Liquefaction; Phenol; Adhesive
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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) | 0.001 | 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 | 0.001 |
| 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".