PART-II AVERAGE CONDENSING HEAT TRANSFER COEFFICIENT ON HORIZONTAL LOW FINNED TUBES
Bibliographic record
Abstract
A theoretical model was developed to predict the average condensing heat transfer coefficient for film condensation on horizontal low finned tubes. In the present study, the tube is divided into three regions; unflooded, flooded, and dripped ones. Then, the condensed regions, i.e. unflooded and flooded ones are divided into two parts; thin and thick layers. The heat transfer is considered only in the thin layer part. In the dripped region the condensate covers all the fins, thus the rate of heat transfer is neglected. The average heat transfer coefficient for condensation of saturated steam on twelve low finned tubes was determined experimentally. Also, other experimental data for condensation of refrigerants and steam were considered for the sake of comparison with the predicted values. This comparison shows that the deviation of these values were within ± 15 and ± 17 percent for steam and refrigerants, respectively.
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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 | 0.001 |
| 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".