Design of a Lean Premixed Prevaporized Can Combustor
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Increasingly, more stringent emissions regulations have necessitated new gas turbine combustor designs with low pollutant emissions. Radically different modern designs have been developed to meet these requirements while maintaining high combustion efficiencies and good flame stability. While several published methodologies for conventional combustor design exist, none exist for modern ones. This paper describes the development of a new preliminary design algorithm for a modern lean premixed prevaporized (LPP) combustor. It also introduces a new LPP combustor concept. The approach used is multi-disciplinary in nature, applying empirical and semi-empirical models in the algorithm to capture complex processes such as droplet evaporation, chemical reaction, jet mixing, and heat transfer. The resulting set of procedures allows a designer to quickly define the detailed geometry of the combustor and provides an assessment of its performance. The preliminary design procedures were verified using the advanced numerical techniques of computational fluid dynamics (CFD). Reasonable agreement between predictions from the preliminary design and numerical analysis was achieved which indicated that the design procedures have been developed successfully.
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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 | 0.000 | 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 it