Double-step hydroforming mechanism of metal bipolar plates for hydrogen fuel cells
Bibliographic record
Abstract
Bipolar plate (BPP) is a key component affecting the efficiency and economy of hydrogen fuel cell, and multi-stage forming process is an effective method to improve the forming quality of metal BPP. In this thesis, a double-step hydroforming model of BPP with a serpentine flow field is established and numerical simulation is used to study the influence of die geometry and process parameters on the forming quality of BPP. The results show that the double-step hydroforming process is superior to the conventional hydroforming. The higher the forming pressure, the better the quality of the BPP, but it will result in severe local thinning; both high and low pre-forming pressures result in lower forming quality; rib fillet have less effect on forming results; the larger the flow channel fillet radius, the more uniform the forming thickness of the plate, and a noticeable second thinning area will appear at the corner when the radius is less than 0.2 mm; the draft angle and the ratio of the flow channel width have a minor impact on the double-step hydroforming effect; the thinner the plate thickness, the easier the forming, but it is prone to rupture during the forming process.
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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 | 0.000 |
| 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 | 0.001 | 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 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".