An inverse design method for viscous flow in turbomachinery blading using a wall virtual movement
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Bibliographic record
Abstract
An inverse shape design method for turbomachinery blades based on a timeaccurate solution of the viscous flow equations is presented.The design scheme is formulated such that either the blade pressure distributions on pressure and suction surfaces, or the blade pressure loading and its thickness distribution can be prescribed as design variables.The blade profile is modified using a virtual velocity distribution that would make the momentum flux on the blade surfaces equal to the design momentum flux.The flow is simulated by solving the Reynolds-averaged Navier-Stokes equations that are discretized using a cell vertex finite-volume method, where an arbitrary Lagrangian-Eulerian formulation is used to account for mesh movement.An algebraic Baldwin-Lomax model is used for turbulence closure.The inverse method is first validated for a transonic compressor cascade; it is then used to redesign a subsonic turbine and a transonic compressor.The results show that the design method is rather robust, flexible and useful in reshaping the blade geometry to achieve the prescribed design variables.They also indicate that by carefully tailoring the design target, significant improvement can be achieved in the blade aerodynamic performance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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)
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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