Numerical solution of a two-phase model for laminar film condensation of vapour-gas mixtures in channels
Bibliographic record
Abstract
The present analysis deals with steady-state, internal-flow, laminar film condensation of vapour-gas mixtures in horizontal and downward-inclined parallel-plate channels. The cooled lower plate is maintained at a uniform temperature, while the upper plate is insulated. Saturated vapour mixed with a non-condensable gas enters the channel at prescribed pressure, velocity, and gas mass fraction. As a result of condensation on the lower plate, distinct regions of liquid condensate and vapour-gas mixture are formed inside the channel. Each phase is described with a set of complete boundary layer equations governing the conservation of mass, momentum, and energy. These two phases are related at the interface with the continuity of velocity, temperature, mass flux, shear stress, and heat flux. The focus of this thesis is on developing a robust numerical solution for the above model and assessing the effect of each independent parameter on the condensation process. The numerical approach utilized a variable-properties finite-volume method with a marching technique. (Abstract shortened by UMI.)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".