Influence of the structure of ice particles air-jet nozzle for aero-engine on the state of the ice particles air-jet
Bibliographic record
Abstract
Abstract Aero-engine parts have the characteristics of large volume and complex shape, which require high cleaning efficiency when carrying out high-volume cleaning work. The nozzle is the core component of the ice particles air-jet equipment, its structural parameters affect the spray state of the ice particles air-jet, thus affecting the cleaning efficiency. To enhance cleaning efficiency, we utilized computational fluid dynamics simulation software, Fluent, to analyze the ice particle jet process. This study aimed to investigate how different nozzle structures affect the distribution of ice particles and the impact speed of the jet. The results show that when the Mach number of the flat Laval nozzle is 2, the length of the expansion section is 250mm, the length of the contraction section is 20mm, the throat section length is 10mm, and the effect is optimal.
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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".