Inhomogeneous Multiphase Model for Nonequilibrium Phase Transition and Droplet Dynamics
Bibliographic record
Abstract
This paper describes the development of an inhomogeneous multiphase model for the prediction of phase transition and nonequilibrium droplet dynamics under transonic flow conditions. The primary application of interest is low pressure steam turbines, where high speeds and complex geometry result in a second phase exhibiting significant droplet size variation, with associated thermal and inertial nonequilibrium relative to the vapor phase. The formulation uses a pressure based, implicit in time, algorithm with finite-volume/finite-element discretization of the conservation equations. For each phase, the velocity, energy state, volume fraction and droplet number are computed. For a two material phase system (water vapor and liquid) a parent and any number of (source based) condensed liquid phases are possible to handle the variety (and complexity) of droplet behavior as found in low pressure steam turbines. The model is tested against experimental data available in the steam turbine community. In particular the influence of inertial nonequilibrium on the phase transition behavior in a steam turbine cascade geometry is examined.
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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) | 0.000 | 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".