Mass Transfer of Diluted Volatile and Nonvolatile Components to a Nucleate Boiling Electrode
Bibliographic record
Abstract
The mass transfer behavior of electro-active species from bulk solution to a metal surface (Alloy 800) under subcooled boiling and fully developed nucleate boiling conditions was investigated using a novel pool-boiling device. The electrochemical method was used to measure the mass transfer rate on a boiling surface. Potassium ferricyanide and hydrogen peroxide were used as the nonvolatile and volatile reaction species, respectively. It was found that for both volatile and nonvolatile species, the mass transfer rate was increased in the subcooled nucleate boiling region where the subcooled electrolyte temperature varied between 80°C and 95°C. This was a result of the enhanced micromixing effect. On the other hand, under the fully developed nucleate boiling region where the electrolyte temperature remained relatively constant at 96°C, the increase in mass transfer rate with increasing heat flux was attributed to the increased macromixing effects. Also, the mass transfer rate for hydrogen peroxide was found to increase at higher rate than that of ferricyanide ions because of the volatile nature of hydrogen peroxide, allowing it to be transferred through both liquid and vapor phases during the reaction.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".