Shower Head Film Cooling Effectiveness of a Symmetrical Turbine Blade Model: Effect of Lateral Injection
Bibliographic record
Abstract
The performance of the SSG Reynolds Stress Model for the prediction of film cooling at the leading edge of a symmetrical turbine blade model is investigated. The test case blade model is symmetric and has one injection row of discrete cylindrical holes on each side near the leading edge. In the present computation several blowing ratios of 45° lateral injection are tested and compared with previous streamwise computations. Further, film cooling effectiveness contours on the blade surface and lateral averaged adiabatic film cooling effectiveness are presented and compared with available measurements. In addition to validation data, several longitudinal and transversal contours and vector planes are reproduced and clearly found to underscore the anisotropic turbulent field occurring in the present shower head film cooling configuration. The advantage of lateral versus streamwise injection is highlighted by the destruction of the two contra rotating vortices which are responsible of cooling effectiveness decrease. In case of lateral injection only one vortex is found and the flow structure is radically different from that known by streamwise jet in cross flow.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".