Fuel cell membrane durability impacts of incidental non-metallic particle deposition – Part 2: Failure prevention strategies
Bibliographic record
Abstract
This two-part article series examines the impacts of incidental non-metallic particle deposition on fuel cell membrane durability. Part 1 investigates the effect of particle type, while Part 2 focuses on mitigation approaches. In this part (Part 2), the behavior of flat, solid particles embedded at the membrane and cathode catalyst layer interface, shown to be harmful in Part 1, is studied experimentally in greater detail. These particles, which can originate from fuel cell components or fabrication machinery debris, are found to compromise membrane durability by forming cavities within the membrane electrode assembly (MEA) that promote cracking and creeping. The role of microporous layer (MPL) properties as the adjacent layer is then analyzed in relation to local deformation of MEA components in the presence of a particle. Numerical simulations show that MPL elasticity and plastic yield stress influence the likelihood of membrane failure near particles. Based on these insights, mitigation strategies are proposed. Numerical and experimental results demonstrate that applying pre-pressure to the MEA alters component deformation in a way that reduces membrane stress during operation and enhances fuel cell durability.
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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) | 0.000 | 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".