Development of a facility to test an ejector ramjet at static conditions
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2022-3781.vid Modifications to the Rothney Advanced Propulsion Technology Research (RAPTOR) Laboratory have been made to test the performance of a methane-fueled ejector-based ramjet. Operations such as filling, firing, and venting are controlled remotely to maximize safety of personnel. A waste gas flare and fire suppression system have been installed to increase overall safety. Cold-flow tests were conducted on a modular 3D printed engine design to test new systems and to collect data for analytical and computational fluid dynamic models. Primary fuel jet pressure, engine wall static pressure, thrust, and entrainment were recorded. The cold-flow tests demonstrated the engine's ability to entrain and pressurize air before combustion. Ignition strategies were explored on the waste gas flare and an automotive spark ignition system was installed on the ejector ramjet experiment. Diagnostic imaging tools were utilized to monitor the experiment during initial tests and showed successful ignition and flame stabilization for primary jet total pressures below 625 kPa. The ejector ramjet successfully produced thrust at static conditions, resulting in a specific impulse of 200 seconds.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".