Transparent PEM-FC Performance Analysis under the Optimal Clamping Pressure Applied at its Bolts
Bibliographic record
Abstract
Fuel cells are gaining their attention recently due to the increasing of their applications in various sectors. The study involved conducting experiments on a titanium gas distributor plates (GDPs) equipped single transparent proton exchange membrane fuel cell (PEM-FC). This research focuses on analyzing how various factors influence the performance of PEM-FC, including clamping pressure, which is determined by the applied torque to each bolt, the humidification temperatures of both the cathode and anode, the overall temperature of the PEM-FC, and the flow rate of the cathode. The findings indicate that the performance of the PEM-FC initially increases to a maximum point before declining with further increases in torque at bolts. Additionally, it was observed that as the humidification temperature of the cathode rises, the performance of the PEM-FC decreases, whereas an increase in the temperature of the PEM-FC itself can be able to improve performance. Furthermore, the reactant for humidification of the anode is crucial for enhancing the efficiency of PEM-FC. While the impact of the flow rate at cathode is minimal in the ohmic overpotential and activation regions, it becomes significantly important in the concentration overpotential region.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".