Development and Characterization of Porous Composites for Solid Oxide Fuel Cell Anode Conduction Layers Using Ceramic‐Filled Highly Porous Ni Foam
Bibliographic record
Abstract
Porous Ni‐yttria stabilized zirconia (YSZ) composites are the most common materials used for solid oxide fuel cell anodes. In conventional anodes, percolation of the Ni phase for acceptable conductivity requires relatively high Ni contents (i.e., >35 vol% of solids) which can reduce cell reliability due to increased coefficient of thermal expansion (CTE) mismatch with the YSZ electrolyte and damage produced by redox cycling. In this study, the incorporation of highly porous Ni foam into an anode structure was investigated in order to produce an anode conduction layer with high conductivity values at lower Ni volumes. This was done by developing techniques for pasting various YSZ based slurries into a Ni foam structure followed by sintering. The electrical conductivity, dimensional stability, and CTE of these structures were measured as a function of Ni, YSZ, and porous volume. Sintered anodes made with Ni‐foam exhibited a superior combination of conductivity and CTE compared with conventional anode structures. For example, a Ni foam–YSZ composite with a nickel loading of 13 vol% has a CTE of 10.7 × 10 −6 K −1 , but with a similar electrical conductivity to a conventional anode (∼3000 S/cm) which requires at least 30 vol% Ni resulting in a CTE >13 × 10 −6 K −1 . Alteration of the paste composition produced a porous composite with engineered porosity and good dimensional stability.
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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) | 0.001 | 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".