Kinetic study on thermal decomposition of flax fibers with model-free and Coats-Redfern model fitting kinetic approaches
Bibliographic record
Abstract
TG analysis was used to investigate the thermal decomposition of flax fibers which are a potential gasification feedstock.10 mg flax shive samples with the particles between 0.60 and 0.85 mm was linearly heated to 550℃ at heating rates of 10,20,30,50 K·min-1,respectively,under high-purity nitrogen.Coats-Redfern model fitting method and model-free methods include Kissinger method and three isoconversional methods(Friedman,Flynn-wall-Ozawa,Vyazovkin and Wight methods)were used to estimate the apparent activation energy of the fax fibers.With the three isoconversional methods,it can be concluded that the activation energy increases with increasing conversion.The four model free methods indicated activation energies in the range of 155—175 kJ·mol-1.Activation energies by Coats-Redfern model fitting method was about 175 kJ·mol-1,close to the values by model free method.These activation energy values provide the basic data for the thermo-chemical utilization of the flax fibers.
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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".