LES SOFTWARE FOR THE DESIGN OF LOW EMISSION COMBUSTION SYSTEMS FOR VISION 21 PLANTS
Bibliographic record
Abstract
Three SIMVAL LES calculations were completed this quarter: {phi} (equivalence ratio) of (1) 0.55, (2) 0.625, and (3) 0.7. The predictions were first analyzed, and then compared to existing experimental data of pressure dynamics, NO{sub x}, and CO emissions. It appears that the combustor flowfield changes for the {phi} of 0.55 case (compared to the other two cases), and this flowfield change results in a slight reduction in the pressure dynamics compared to the {phi} of 0.625 case. The predicted pressure rms values were 1.0 psi or less for the three cases. Good agreement was seen between predicted and measured NO{sub x} emissions for the cases with {phi} = 0.55 and {phi} = 0.625. The CO predictions were higher than the measurements, but possible reasons were identified. A new SIMVAL dataset recorded June, 2004, is being processed and will be transmitted to CFDRC in the near future. The previous two datasets had known deficiencies. This new dataset will be compared to the LES predictions in the next quarter.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.007 |
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".