Superhydrophobic flow channel surface and its impact on PEM fuel cell performance
Bibliographic record
Abstract
Water management is a critical issue in polymer electrolyte membrane fuel cells (PEMFCs), and it is normally achieved through the modification of surface wettability condition for the cell components. In this study, superhydrophobic surface-coating materials were developed and the gas flow channel surfaces were modified for superhydrophobic surface property with small sliding angles (SAs). The coated surface characteristics were measured, including static contact angle (CA), SA and CA hysteresis as well as surface geometrical properties. The flow characteristics through such surface-coated channels were measured, and comparison was made with hydrophilic channels and channels coated with poly(tetrafluoroethylene), a commonly used surface-coating agent in PEMFCs. It was found that the presently modified superhydrophobic flow channels yield the lowest resistance to the two-phase flow; and both the mechanical and thermal stabilities of the attained superhydrophobicity for the coated surfaces were also investigated. It was demonstrated experimentally that such coated flow channels result in improved PEMFC performance due to improved water management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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".