Optimization of Curing Process for Carbon Fiberpreparation from Wood-Phenol Liquefaction Product
Why this work is in the frame
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Bibliographic record
Abstract
In this study, China fir was liquefied in phenol, and liquefactionproduct was used to produce carbon fiber precursors by curing process. The effect of heating rate, curing temperature, curing time and hydrochloric acid concentration on curing processwas investigated by orthogonal experimentsin term of the crystallinityof carbon fiber precursors produced.According to experiment results, the primary and secondary relation of the four variables is: curing time>curing temperature>hydrochloric acid concentration >heating rate. The optimal conditions of curing technology are as follow: heating rate of 15 °C/h, curing temperature of 90 °C, curing time of 2 h with hydrochloric acid concentration of 18.5%. Using the optimal conditions, carbon fiber precursors could obtain the highest crystallinity of 36.96%. Key words: Carbon fiber precursors; Curing; Crystallinity; Liquefaction; Phenol
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.008 |
| Open science | 0.001 | 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 it