Aerodynamic Analyses of Variable Geometry Asymmetric Supersonic Nozzles
Bibliographic record
Abstract
The objective of the research is to develop a two dimensional supersonic nozzle with adaptable geometry that will allow a range of exit supersonic speeds ranging from Mach 1.29 to 4. The uniformity of the exiting air stream was the primary performance indicator. The asymmetric geometry is intended to be used in supersonic wind tunnels were uniform exit flow and a range of usable Mach numbers increases the utility of the tunnel. Numerical tools using the method of characteristics were developed using MATLAB to create an initial inviscid nozzle profile. Geometric constraints lead to the development of a two nozzle approach. It was found that an inviscid asymmetric nozzle geometry derived through the method of characteristics could be successfully adapted to create asymmetric nozzle profiles to include viscous effects. Numerical methods employing RANS solvers were required to adapt the asymmetric nozzle geometry. The uniformity of the exiting air stream was highly dependent on the downstream nozzle geometry. With effective geometry adaptation, the average variation of exiting nozzle velocity for a viscous flow was reduced to 1% and no less.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".