Water Management Concepts in PEMFC With Biomimetic and TRIZ Design Methods
Bibliographic record
Abstract
Excessive water accumulation at the cathode can cause cathode flooding in a fuel cell. Two design methodologies, TRIZ (Theory of Inventive Problem Solving) and biomimetic design, were applied to address the problem. A concept generated from TRIZ involves reversing the direction of cathode flow periodically to introduce dryer gas to the previous outlet, where it is previously saturated, with the humidified gas exiting the previous inlet. The concept is intended to reduce the potential for a channel to flood. A prototype apparatus was created to evaluate the concept. It consisted of a cell with a bare Nafion™ membrane pressurized by water on one side and with air flowing on the other side. The prototype apparatus demonstrated a potential loss of overall water removal efficiency in air. Therefore, the flow direction reversal concept may not benefit an actual fuel cell. A second concept generated from the biomimetic design method involves gathering liquid water with cavities and directing the liquid water out of the flow channels. Cavities for water collection in the flow channels of a bipolar plate are created in two configurations. In the first configuration the cavity is created by extending a straight channel from the u-bend in the channel. In the second configuration, the cavity is created by a hole perpendicular to the channel into the bipolar plate. Once the liquid water is collected at cavities, the water is directed out of the cell with wicking materials. A prototype with injected liquid water demonstrated the potential benefits for a fuel cell.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".