Simulation of swirling wet steam flow through a supersonic nozzle
Bibliographic record
Abstract
This study was carried out to demonstrate the effects and determine the changes caused by a swirling flow of wet steam through a supersonic nozzle, with emphasis towards the condensation efficiency of wet steam at the nozzle exit. Various 2D nozzle designs were studied to find the best model to be used in this study. Multiple simulations were created using computational fluid dynamics and parameters were assigned to manage constraints and variables. A benchmarking process was then carried out in order to ascertain the truthfulness of the design. The results obtained were analysed and measured against pre-defined results to determine its legitimacy. The chosen convergent – divergent nozzle with verified geometry was subsequently modelled in 3D. Wet steam is simulated to flow normally through the convergent – divergent nozzle. Swirl is then introduced to the flow of wet steam by means of an angled inlet. Various wet steam flow parameters were measured at the inlet and outlet of the Laval nozzle. It was observed that liquid mass fraction, droplet average radius and droplets per unit volume are the main parameters which changes when swirl intensity was varied.
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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 | 0.001 |
| 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 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".