Bibliographic record
Abstract
Accurate prediction of nonequilibrium condensation in turbomachinery is a critical issue for the design of lowpressure steam turbines and supercritical CO 2 compressors.Previously developed numerical methods for high-pressure flows with nonequilibrium condensations used REFPROP to simulate the effect of real gases; however, the estimation of the equation of state for supercooled gas was simply extrapolated from the saturated line.In this paper, an estimation method of the equation of state of a supercooled gas applicable to high-and low-pressure condensing flows is proposed.Laval nozzle flows of steam and CO 2 in high-and low-pressure conditions were then numerically investigated using the proposed method.Although the effect of real gas is much important in high-pressure conditions, the estimation method for supercool condition had relatively little effect on the pressure distribution in high-pressure flows with nonequilibrium condensation.In low-pressure steam flows containing nonequilibrium condensation, the slight difference of supercooled - diagram by the estimating method has the crucial effect on the pressure distribution due to high supersaturation ratio.Subscript in inlet condition l liquid phase g gas phase sat saturated point s value on isentropic line
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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) | 0.005 | 0.006 |
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; both teacher heads agree on what is shown here.
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".