Lattice Boltzmann Modeling of the Effective Thermal Conductivity of an Anisotropic Gas Diffusion Layer in a Polymer Electrolyte Membrane Fuel Cell with Residual Water
Bibliographic record
Abstract
In the present work, the anisotropic effective thermal conductivity of the gas diffusion layer (GDL) of a polymer electrolyte membrane (PEM) fuel cell is determined using a thermal lattice Boltzmann model. Using saturation patterns obtained from three-dimensional (3-D) pore network modeling simulations with invasion percolation, the thermal conductivity of the GDL containing liquid water is determined. For a GDL modeling domain with a total saturation of 24.4% (flooded inlet condition), increases of 20.8% and 5.4% are noted for the through-plane and in-plane thermal conductivities, respectively. As the GDL plays an important role in thermal and water management within a PEM fuel cell, the simulated thermal conductivities determined in this work can provide insight into the effect of the GDL on the thermal management required for improved PEM fuel cell performance.
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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".