3-D conjugate heat transfer analysis of a cooled transonic turbine blade using non-reflecting boundary conditions
Bibliographic record
Abstract
Increasing the combustor exit temperature in gas turbines is an effective means to increase engine power. While occasional metallurgical advances allow gradual temperature increases, improving the internal/external cooling of the blades is the only way to permit significant temperature gains. In this work, a methodology for aerodynamic and conjugate heat transfer computational analysis of cooled turbine blades is developed. Flow solutions are obtained using an implicit, three-dimensional, finite-element Reynolds-Averaged Navier-Stokes flow solver. Efficient non-reflecting boundary conditions are derived and implemented to reduce the size of the solution domain and accelerate convergence. These are shown to be essential for the accurate capturing of shock waves and wakes. The methodology is demonstrated on the convection-cooled NASA-C3X turbine vane, by coupling heat conduction in the solid vane with heat transfer from the internal cooling flow and the external hot-gas flow. Both aerodynamic and heat transfer results are compared against experimental data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".