A Computational Study of Sprays Produced by Rotary Cage Atomizers
Why this work is in the frame
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Bibliographic record
Abstract
This article describes a computational study of poly-dispersed droplet spray plumes produced by Micronair AU4000 and AU6539 rotary cage atomizers that are commonly used in agriculture and forestry management. It combines experimental measurements of the droplet size spectrum and computational fluid dynamics (CFD) methods to develop a comprehensive understanding of droplet dispersion and spatial segregation in the near wake of the atomizer. The results will assist the development of improved measurement methodologies of pesticide droplet spectra. A parametric study of the Micronair AU4000 atomizer examines the effects of air speed, atomizer speed, liquid flow rate, and power source on spatial segregation of the plume. The RANS model uses a combined Lagrangian (droplet phase) and Eulerian (gas phase) procedure and includes the sprayer with blades and a large portion of the wind tunnel geometry. The computational results are compared to full-scale experimental measurements of pressure, gas phase velocity, turbulence intensity, and droplet size spectra measured using phase Doppler interferometry (PDI).
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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 | 0.000 | 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) | 0.000 | 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 it