Numerical Predictions of Transport Phenomena in a Proton Exchange Membrane Fuel Cell
Why this work is in the frame
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Bibliographic record
Abstract
Transport phenomena play an important role in the performance of the proton exchange membrane fuel cell. Water generated by electrochemical reactions and transported by osmotic drag and back diffusion can cause saturation or flooding, preventing oxygen from reaching catalysis sites. Dehydration may also occur, resulting in poor proton conductivity. Balancing water content within the membrane involves judicious water and heat management strategies. In this paper, detailed mathematical models for the prediction of all significant aspects of physicochemical hydrodynamics for a proton exchange membrane fuel cell are employed. Fully coupled heat and mass transfer and electrochemistry are considered, and the dependence of water transport on these factors is taken into account. Two distinct approaches were considered: a fully three-dimensional approach and a hybrid scheme, whereby the electrochemistry and electric fields are treated as locally one dimensional in the membrane assembly. Comparisons between the two approaches are presented and discussed. The numerical results suggest a dependence of the rate-of-water removal on temperature, current density, and inlet humidification levels, and also that the oxygen concentration in the air channels significantly affects current density distribution.
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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 | 0.001 | 0.001 |
| 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 it