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Record W4299510393 · doi:10.31399/asm.cp.itsc2004p0085

Induction Plasma Spraying of Samaria Doped Ceria as Electrolyte for Solid Oxide Fuel Cells

2004· article· en· W4299510393 on OpenAlexaff
Lu Jia

Bibliographic record

VenueThermal spray · 2004
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials sciencePorosityScanning electron microscopeCoatingElectrolyteInductively coupled plasmaSolid oxide fuel cellOxidePlasmaThermal sprayingAnalytical Chemistry (journal)DopingChemical engineeringComposite materialMetallurgyChemistryElectrodeChromatographyOptoelectronics

Abstract

fetched live from OpenAlex

Abstract Samaria doped ceria (SDC), used as a solid oxide fuel cell (SOFC) electrolyte, was deposited by Solution Plasma Spray (SolPS) process. An aqueous solution of mixed nitrates was axially injected into the Radio Frequency (RF) inductively coupled plasma through an atomization probe. The atomic ratio of the SDC components in solution was (Ce0.85Sm0.15)O1.925. In order to control the initial spray droplet diameter, Malvern RTsizer atomization tests were performed. In-flight particle temperature and velocity were analyzed by DPV 2000. Coatings thickness and morphology were measured and observed by scanning electron microscopy, the substrate porosity being determined through gas permeability measurements. Results indicate that the coating's porosity and density strongly depend on the plasma spraying parameters. Gap size of the injection probe, atomization gas flow rate and the probe position have no significant effects on the coating’s porosity under the spraying conditions applied in this study

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.

How this classification was reachedexpand

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)0.001
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 score0.009
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.267
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2004
Admission routes1
Has abstractyes

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