NUMERICAL SIMULATION OF FILM CONDENSATION FROM GAS–VAPOR MIXTURES IN VERTICAL PARALLEL PLATE CHANNELS
Bibliographic record
Abstract
The present work performs a numerical analysis of steady-state, laminar film condensation from a downward flow of a vapor–gas mixture in vertical parallel plate channels. A finite volume method and a co-located variable storage scheme were used with a structured non-orthogonal mesh. Relative to previous approaches the present work has the following new aspects: the complete elliptic two-dimensional governing equations are solved in both phases, a dynamically determined sharp interface is used between the phases, and the algebraic equations are solved in a pressure-based coupled approach. Two velocities, pressure, and temperature in both phases plus non-condensing gas mass fraction and interface locations are determined simultaneously for the entire solution domain. The results presented for steam–air mixtures include axial velocity, pressure, and gas mass fraction profiles as well as axial variations of film thickness, condensation rate, local Nusselt number, and interface gas mass fraction. Detailed comparisons are made with results from an established parabolic (marching) model. Two cases are presented for which the parabolic model terminated because of a negative axial velocity. In those cases, the present elliptic model obtained solutions with predictions of small regions of reverse flow extending to the channel outlet.
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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".