Numerical simulation of particulate matter interaction with the gas diffusion layer of proton‐exchange membrane fuel cells under various relative humidity conditions
Bibliographic record
Abstract
Proton-exchange membrane fuel cell (PEMFC) operation and performance degrade when particulate matter (PM) present in the reactant gas stream is collected in the porous structure of the gas diffusion layers (GDL). Interaction of PM carried by the gas stream and their capture efficiency by fibrous structure of GDLs is numerically investigated at various levels of relative humidity (RH) and different particle sizes. For small particles (sub-micron sizes), the Brownian diffusion mechanism is dominant, while transitioning to interception and inertial impaction mechanisms occur as particle size increases (micron sizes or larger). It is found that high humidity levels result in higher diameter and lower density of PM, lower air density, and lower particle bounce due to the absorption of water vapor in the PM. Of these four effects, the first is the most important and the third is the least important. As humidity level is increased, particle capture efficiency decreases for small particles, but increases for large particles. The present study implies that a filter capable of removing large particles must be installed in the upstream reactant gas supply line to avoid the accumulation/clogging of PM in GDL structure.
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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) | 0.001 | 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 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".