A Numerical Study of Channel-to-Channel Flow Cross-Over Through the Gas Diffusion Layer in a PEM Fuel Cell Type Flow System Using a Sepentine Flow Channel With a Trapezoidal Cross-Sectional Shape
Bibliographic record
Abstract
On the cathode side of a PEM fuel cell, the air usually flows through serpentine channels in a flow plate, these channels usually having a square cross-sectional shape. There is a porous diffusion layer adjacent to the flow plate. Flow cross-over of air through the porous diffusion layer from one part of the channel to another can occur. This flow cross-over is a result of the pressure differences between different parts of the channel and it causes the flow rate through the channel to vary with the distance along the channel. A numerical study of the pressure distribution and flow cross-over through the gas diffusion layer (GDL) in a PEMFC flow plate system that uses a serpentine channel system has therefore been undertaken for the case where the channel has a trapezoidal cross-sectional shape. The purpose of the present work was to study the effect of the flow plate geometry on the basic fluid flow through the plate. The flow has been assumed to be three-dimensional, steady, incompressible and single-phase. The flow through the porous diffusion layer has been described using the Darcy model. The dimensionless governing equations have been written in dimensionless form and solved by using the commercial CFD solver, FIDAP. The solution depends on (1) the Reynolds number, Re, based on the mean channel width and on the mean velocity at the channel inlet, (2) the gas Prandtl number, Pr, a value of 0.7 being assumed here, (3) the permeability of the diffusion layer, (4) the ratio, R, of the length of the wide side of the trapezoidal channel to the length of the narrow side of the channel. Values of Re between 50 and 200 and of R between 1 and 7 have been considered. The results obtained indicate that: (1) the width ratio, R, of the trapezoidal channel cross-sectional shape has a significant effect on the flow cross-over As R increases the flow cross-over through GDL increases, (2) The ratio R also has a significant effect on the pressure variation in the flow field for both cross-over and no cross-over cases. (3) Flow cross-over has a significant influence on the pressure variation through the channel, tending to decrease the pressure drop across the channel. (4) An increase in Re can lead to a slight increase in the flow cross-over.Copyright © 2005 by ASME
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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.
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