MétaCan
Menu
Back to cohort
Record W1973246648 · doi:10.1504/ijmpt.2011.037206

Characterisation of microstructure and mechanical properties of cermets at micro- and nanoscales

2010· article· en· W1973246648 on OpenAlex
Irina Hussainova, Maksim Antonov, Iwona Jasiuk, Xiangdong Du

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 Materials and Product Technology · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsMcGill University
FundersEesti Teadusfondi
KeywordsCermetMaterials scienceNanoindentationMicrostructureCeramicGrain sizeComposite materialChromium carbideMetallurgyPhase (matter)CarbideResidual stressElastic modulus

Abstract

fetched live from OpenAlex

High resolution measurements of mechanical properties of the constituent phases of multi-phase materials are of immerse importance in design of new composites. In this study, the nanoindentation, X-ray analysis and microstructural SEM investigations have been used to reveal the properties and structural features of ceramic – metal composites involving chromium carbide based cermets with different additives (Mo and Cu) in nickel binder. The additives influence microstructural parameters such as grain size and residual stresses; however, nanohardness and Young’s moduli of constituent phases remain less affected. Phase – specific mechanical properties are measured and correlated with bulk behaviour. Furthermore, hardness of the binder metal is found to be higher in cermet as compared to the bulk hardness of metal.

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 score0.004
Threshold uncertainty score0.234

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 head0.004
GPT teacher head0.197
Teacher spread0.192 · 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