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Investigating the Sintering Behavior of Porous Composites Made from Metallic Ni and YSZ Powders

2010· article· en· W2137030410 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Applied Ceramic Technology · 2010
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceYttria-stabilized zirconiaSinteringNon-blocking I/OComposite materialNickelMetalPorosityMetallurgyCubic zirconiaCeramicCatalysis

Abstract

fetched live from OpenAlex

The aim of this investigation is to characterize the influence Ni oxidation has on the sintering of tape‐cast Ni/YSZ composites made from coarse and fine nickel metal powders compared with preoxidized NiO/YSZ mixtures. During heating to 900°C, the NiO/YSZ composites shrink while the coarse Ni/YSZ composites expand, due to nickel oxidation. Fine Ni/YSZ powders do not exhibit oxidation‐induced expansion. Most densification occurs during high‐temperature sintering to 1475°C, the Ni/YSZ composites shrinking less than the NiO/YSZ composites. Analysis indicates that swelling due to Ni oxidation dominates the volumetric changes at low Ni contents, while sintering dominates at high Ni volumes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.263
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it