Effect of K_2CO_3 and Fe_2O_3 on combustion reactivity of pulverized coal by thermogravimetry analysis
Bibliographic record
Abstract
The effects of K2CO3,Fe2O3 on catalytic combustion reactivity of different rank fuels such as lignite,bituminous coal,anthracite and graphite were investigated by a synthetical thermal analyzer.The results show that the type and content of catalysts,particle size and rank of fuel are important factors influencing catalytic combustion.When K2CO3 and Fe2O3 were added,ignition temperature of anthracite decreases from 458℃ to 319℃ and 405℃,respectively.And its combustion rate increases from 11.94%/min to 26.40%/min and 17.66%/min,respectively.There are not evident effects of K2CO3,Fe2O3 on decreasing ignition temperature of lignite and bituminous coal,but ignition temperature of anthracite and graphite decreases remarkably.With increasing rank of fuel,extent of decreasing ignition temperature is enhanced.Due to different factors led to changes of ignition temperature and combustion rate which changes are different too when catalyst is present.
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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".