Study on Coal Particle Combustion Characteristics and NO Emission in a Hot Laminar Gas Flow
Bibliographic record
Abstract
The combustion and NO formation characteristics of coal particles of different size distributions in a laminar gas flow were investigated by numerical simulation. The variation of coal particle size distribution was obtained by changing the mass ratio of small-sized coal to large-sized coal. The gas-phase combustion was modeled using GRI-Mech 3.0. The particle motion was simulated using a trajectory model. The results show that the coal particle size distribution has a significant impact on combustion process and NO distribution. Coal particles of uniform size at either 105 or 75 μm results in a higher NO concentration than coal consisting of both the large and the small particles. The smaller-sized coal particles experience a rapid volatile release, a higher maximum gas temperature, and a higher maximum NO concentration. Increasing the mass ratio of the smaller-sized coal particles changes the gas temperature and the averaged NO distribution and lowers the maximum NO concentration.
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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".