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Record W4383646943 · doi:10.53063/synsint.2023.31133

Influence of TiN addition on densification behavior and mechanical properties of ZrB2 ceramics

2023· article· en· W4383646943 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSynthesis and Sintering · 2023
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceFracture toughnessTinVickers hardness testCeramicComposite materialTin oxideMicrostructureToughnessGrain growthMetallurgyOxide

Abstract

fetched live from OpenAlex

In the present work, densification behavior and mechanical features (fracture toughness and Vickers hardness) of undoped and TiN-doped ZrB2 ceramic materials, hot-pressed at 1800 ºC under 15 MPa for 1 hr, were studied. The addition of only 5 wt% TiN into ZrB2 has resulted in an increase in its relative density from 83% to 90 %. Removal of oxide contaminations like B2O3 via chemical reactions with TiN and new secondary phases formation such as ZrN, h-BN, and (Zr,Ti)B2 solid solutions were approved employing crystalline phase analysis and microstructural studies. Improvement of densification and restriction of grain growth caused enhancement of mechanical characteristics. The measured values of Vickers hardness and fracture toughness are ameliorated from 7.8 GPa and 1.5 MPa.m1/2 to 14.1 GPa and 3.8 MPa.m1/2, respectively.

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 score0.007
Threshold uncertainty score0.349

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.244
Teacher spread0.217 · 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