Ejector Pumping Enhancement Through Pulsing Primary Flow
Bibliographic record
Abstract
Computational Fluid Dynamics analysis for a novel pulsed-ejector showed that the pumping effectiveness (ratio of secondary (entrainment) to primary mass flow rate) was significantly increased relative to the unpulsed ejector, and that this was optimized by pulsing at off-resonance (3250 Hz) to the fundamental (2000 Hz) of the ejector. Testing of a novel model pulsed-ejector confirmed strong response for pulse frequencies less than half of the fundamental frequency of about 746 Hz. Acoustic driver frequency response limitations only allowed testing at less than the experimental fundamental frequency. Specifically pumping effectiveness was increased by up to five times, and even more in suction performance, for only 150 W electrical power at the acoustic driver input. Optimum performance was at a frequency of about 250 Hz, and the acoustic drive produced a small but significant increase in the flow stagnation pressure. The results demonstrate important research potential for the novel pulsed-ejector.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".