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Record W1606217566 · doi:10.1002/9780470294826.ch24

The Effect of a High Strength Electric Field on the Low Temperature Degradation of a Y-TZP Ceramic

2008· book-chapter· en· W1606217566 on OpenAlexaff
Zhenbo Zhao, Cheng Liu, Derek O. Northwood

Bibliographic record

VenueCeramic engineering and science proceedings · 2008
Typebook-chapter
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsToronto Metropolitan UniversityUniversity of Windsor
Fundersnot available
KeywordsElectric fieldMaterials scienceAtmospheric temperature rangeDiffusionCeramicMonoclinic crystal systemOxygenComposite materialDegradation (telecommunications)ThermodynamicsCrystal structureCrystallographyChemistryElectrical engineering

Abstract

fetched live from OpenAlex

The role of anion (oxygen) vacancies on the low temperature degradation of Y-TZP and a carburized Y-TZP has been investigated under a high strength electric field. It is found that the stability of a Y-TZP, but not a carburized Y-TZP was decreased when a high strength electric field was applied. The volume fraction of monoclinic phase produced by the electric field increased in a parabolic rate law manner which shows that the transformation is controlled by a diffusion process. It is indirectly shown that the low temperature degradation of Y-TZP results from the diffusion and migration of oxygen vacancies. The effect of temperature at a constant electric field on the degradation shows that the transformation can be promoted only in a specific temperature range. The stronger stability of carburized Y-TZP can be attributed to the nature of carbon in the Y-TZP lattice, where it exists in interstitial sites as a atom, rather than an ion.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.187
Teacher spread0.183 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2008
Admission routes1
Has abstractyes

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