Response of a Disk Cavity Flow to Gas Turbine Engine Transients
Bibliographic record
Abstract
An integral part of the transient operation of a gas turbine engine is the behavior of the engine’s internal air system. It is desirable to model transient air system effects using a computationally efficient method, while accurate representation of these flows may require incorporation of the interactive effects of volume packing and swirl. Thus 1-D methods may need auxiliary relations to account for non-uniformity of properties in the cavity due to swirl or changes in the discharge coefficients of feed and exit holes to account for varying amounts of cross-flow. Consideration of the system response shows that flow spin-up times can be significant, suggesting the inclusion of the conservation of angular momentum in a 1-D volume modeling approach. To clarify the various contributions to the dynamics of these cavities, an axisymmetric rotor-stator disk geometry was modeled using CFD. Results are presented showing a notable effect of rotation. The presence of the rotor increased the time constant by a factor of about 2 for one case studied. The CFD results are compared to 1-D models. The results show improved accuracy of the 1-D model when the conservation of angular momentum is included in the formulation and recommendations for further improvement are made.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".