Microstructure and Performance Investigation of a Solid Oxide Fuel Cells Based on Highly Asymmetric YSZ Microtubular Electrolytes
Bibliographic record
Abstract
A combined phase inversion and sintering technique was used to fabricate highly asymmetric yttria-stabilized zirconia (YSZ) hollow fibers with a 1.9 mm external diameter and 210 μm total wall thickness. These consisted of a thin (∼10 μm), dense outer layer and a much thicker (∼200 μm) inner layer with finger-like voids. Such highly asymmetric structures formed gas-tight electrolytes and mechanical supports of a microtubular solid oxide fuel cell (SOFC). Nickel oxide−yttria-stabilized zirconia (NiO−YSZ) particles were infused into the pores from alcoholic dispersions and then sintered at 1300 °C, prior to electroless Ni layers being deposited, forming composite anodes. The Ni layer deposited by electroless plating had the function of improving the anodic current collection. Cathodes were deposited by slurry-coating lanthanum strontium manganite particles onto the outer surfaces of YSZ hollow fibers, followed by sintering at 1000 °C and reduction of the anode at 800 °C in a hydrogen environment, completing the fabrication of the microtubular SOFCs. Mechanical strengths of ∼226 MPa were derived from three-point bending tests on hollow fibers sintered at 1450 °C. Initial SOFC performance measurements with 5% H 2 as the fuel and air as the oxidant resulted in maximum power densities of 18 mW cm −2 at 800 °C. This low value resulted largely from the discontinuous nature of the electrolessly deposited nickel anode; present work aims to improve its structure and hence SOFC performance.
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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 | 0.000 | 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 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".