OPTIMIZATION OF CONVERGENT-DIVERGENT LAVAL NOZZLE TO \nPRODUCE NANO PARTICLES
Bibliographic record
Abstract
This research work provides detailed information on numerical modeling of \nnucleation and condensation based on classical nucleation theory and computational \nfluid dynamic simulation of heat transfer coefficient of the nozzle wall. The first \nobjective is modeling of condensation of water and mercury vapor in a Laval nozzle, \nusing the liquid drop nucleation theory. Influence of nozzle geometry, pressure and \ntemperature on the average drop size is reported. A MATLAB based computer \nprogram was used to calculate the nucleation and condensation of water vapor in the \nnozzle. The simulation results were validated with the experimental data available in \nthe literature for steam condensation. The model reveals that the average drop size is \nreduced by increasing the divergent angle of the nozzle.
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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) | 0.001 | 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 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".